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Zampogna A, Borzì L, Soares C, Demrozi F. Editorial: High-tech personalized healthcare in movement disorders. Front Neurol 2024; 15:1452612. [PMID: 39015322 PMCID: PMC11250080 DOI: 10.3389/fneur.2024.1452612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/18/2024] Open
Affiliation(s)
- Alessandro Zampogna
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed Institute, Pozzilli, Italy
| | - Luigi Borzì
- Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
| | - Carolina Soares
- Department of Neurology, Unidade Local de Saúde São João, E.P.E, Porto, Portugal
- Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Alameda Prof. Hernâni Monteiro, Porto, Portugal
| | - Florenc Demrozi
- Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
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Trabassi D, Castiglia SF, Bini F, Marinozzi F, Ajoudani A, Lorenzini M, Chini G, Varrecchia T, Ranavolo A, De Icco R, Casali C, Serrao M. Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia. SENSORS (BASEL, SWITZERLAND) 2024; 24:3613. [PMID: 38894404 PMCID: PMC11175240 DOI: 10.3390/s24113613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024]
Abstract
The interpretability of gait analysis studies in people with rare diseases, such as those with primary hereditary cerebellar ataxia (pwCA), is frequently limited by the small sample sizes and unbalanced datasets. The purpose of this study was to assess the effectiveness of data balancing and generative artificial intelligence (AI) algorithms in generating synthetic data reflecting the actual gait abnormalities of pwCA. Gait data of 30 pwCA (age: 51.6 ± 12.2 years; 13 females, 17 males) and 100 healthy subjects (age: 57.1 ± 10.4; 60 females, 40 males) were collected at the lumbar level with an inertial measurement unit. Subsampling, oversampling, synthetic minority oversampling, generative adversarial networks, and conditional tabular generative adversarial networks (ctGAN) were applied to generate datasets to be input to a random forest classifier. Consistency and explainability metrics were also calculated to assess the coherence of the generated dataset with known gait abnormalities of pwCA. ctGAN significantly improved the classification performance compared with the original dataset and traditional data augmentation methods. ctGAN are effective methods for balancing tabular datasets from populations with rare diseases, owing to their ability to improve diagnostic models with consistent explainability.
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Affiliation(s)
- Dante Trabassi
- Department of Medical and Surgical Sciences and Biotechnologies, “Sapienza” University of Rome, 04100 Latina, Italy; (D.T.); (C.C.); (M.S.)
| | - Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, “Sapienza” University of Rome, 04100 Latina, Italy; (D.T.); (C.C.); (M.S.)
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
| | - Fabiano Bini
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy; (F.B.); (F.M.)
| | - Franco Marinozzi
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy; (F.B.); (F.M.)
| | - Arash Ajoudani
- Department of Advanced Robotics, Italian Institute of Technology, 16163 Genoa, Italy; (A.A.); (M.L.)
| | - Marta Lorenzini
- Department of Advanced Robotics, Italian Institute of Technology, 16163 Genoa, Italy; (A.A.); (M.L.)
| | - Giorgia Chini
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy; (G.C.); (T.V.); (A.R.)
| | - Tiwana Varrecchia
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy; (G.C.); (T.V.); (A.R.)
| | - Alberto Ranavolo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy; (G.C.); (T.V.); (A.R.)
| | - Roberto De Icco
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
- Headache Science & Neurorehabilitation Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Carlo Casali
- Department of Medical and Surgical Sciences and Biotechnologies, “Sapienza” University of Rome, 04100 Latina, Italy; (D.T.); (C.C.); (M.S.)
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, “Sapienza” University of Rome, 04100 Latina, Italy; (D.T.); (C.C.); (M.S.)
- Movement Analysis Laboratory, Policlinico Italia, 00162 Rome, Italy
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Cofré Lizama LE, Panisset MG, Peng L, Tan Y, Kalincik T, Galea MP. Postural behaviour in people with multiple sclerosis: A complexity paradox. Gait Posture 2024; 111:14-21. [PMID: 38608470 DOI: 10.1016/j.gaitpost.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/31/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Balance deficits are a major concern for people with multiple sclerosis (pwMS). Measuring complexity of motor behaviour can offer an insight into MS-related changes in adaptability of the balance control system when dealing with increasingly complex tasks. QUESTION Does postural behaviour complexity differ between pwMS at early stages of the disease and healthy controls (HC)? Does postural behaviour complexity change across increasingly complex tasks? METHODS Forty-eight pwMS and 24 HC performed four increasingly complex postural tasks with eyes open (EO), eyes closed (EC), on firm (FS) and compliant surface (CS). Lumbar and sternum sensors recorded 3D acceleration, from which complexity index (CI) was calculated using multiscale sample entropy (MSE) in the frontal and sagittal planes. RESULTS We found that only the complexity index in both planes during the eyes closed on compliant surface (EC-CS) task was significantly lower in pwMS compared to HC. We also found that complexity in pwMS was significantly lower during EC-CS compared to the other three tasks when using both lumbar and sternum sensors. SIGNIFICANCE Increasing the complexity of postural tasks reduces the complexity of postural behaviour in pwMS. This paradox may reflect reduced adaptability of the sensorimotor integration processes at early stages of MS. CI can provide a different perspective on balance deficits and could potentially be a more sensitive biomarker of MS progression and an early indicator of balance deficit.
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Affiliation(s)
| | - Maya G Panisset
- Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Liuhua Peng
- School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Ying Tan
- Department of Mechanical Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Tomas Kalincik
- Clinical Outcomes Research Unit, The University of Melbourne, Melbourne, VIC 3052, Australia; Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, VIC 3052, Australia
| | - Mary P Galea
- Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia; Australian Rehabilitation Research Centre, Royal Park Campus, Parkville, VIC 3052, Australia
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Zampogna A, Borzì L, Rinaldi D, Artusi CA, Imbalzano G, Patera M, Lopiano L, Pontieri F, Olmo G, Suppa A. Unveiling the Unpredictable in Parkinson's Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life. Bioengineering (Basel) 2024; 11:440. [PMID: 38790307 PMCID: PMC11117481 DOI: 10.3390/bioengineering11050440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/23/2024] [Accepted: 04/28/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Dyskinesias and freezing of gait are episodic disorders in Parkinson's disease, characterized by a fluctuating and unpredictable nature. This cross-sectional study aims to objectively monitor Parkinsonian patients experiencing dyskinesias and/or freezing of gait during activities of daily living and assess possible changes in spatiotemporal gait parameters. METHODS Seventy-one patients with Parkinson's disease (40 with dyskinesias and 33 with freezing of gait) were continuously monitored at home for a minimum of 5 days using a single wearable sensor. Dedicated machine-learning algorithms were used to categorize patients based on the occurrence of dyskinesias and freezing of gait. Additionally, specific spatiotemporal gait parameters were compared among patients with and without dyskinesias and/or freezing of gait. RESULTS The wearable sensor algorithms accurately classified patients with and without dyskinesias as well as those with and without freezing of gait based on the recorded dyskinesias and freezing of gait episodes. Standard spatiotemporal gait parameters did not differ significantly between patients with and without dyskinesias or freezing of gait. Both the time spent with dyskinesias and the number of freezing of gait episodes positively correlated with the disease severity and medication dosage. CONCLUSIONS A single inertial wearable sensor shows promise in monitoring complex, episodic movement patterns, such as dyskinesias and freezing of gait, during daily activities. This approach may help implement targeted therapeutic and preventive strategies for Parkinson's disease.
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Affiliation(s)
- Alessandro Zampogna
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (A.Z.); (M.P.)
- IRCCS Neuromed Institute, 86077 Pozzilli, IS, Italy
| | - Luigi Borzì
- Data Analytics and Technologies for Health Lab (ANTHEA), Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy; (L.B.); (G.O.)
| | - Domiziana Rinaldi
- Department of Neuroscience, Mental Health and Sense Organs (NESMOS), Sapienza University of Rome, 00189 Rome, Italy; (D.R.); (F.P.)
| | - Carlo Alberto Artusi
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Torino, Italy; (C.A.A.); (G.I.); (L.L.)
- Neurology 2 Unit, A.O.U, Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Gabriele Imbalzano
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Torino, Italy; (C.A.A.); (G.I.); (L.L.)
| | - Martina Patera
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (A.Z.); (M.P.)
| | - Leonardo Lopiano
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Torino, Italy; (C.A.A.); (G.I.); (L.L.)
- Neurology 2 Unit, A.O.U, Città della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Francesco Pontieri
- Department of Neuroscience, Mental Health and Sense Organs (NESMOS), Sapienza University of Rome, 00189 Rome, Italy; (D.R.); (F.P.)
| | - Gabriella Olmo
- Data Analytics and Technologies for Health Lab (ANTHEA), Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy; (L.B.); (G.O.)
| | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (A.Z.); (M.P.)
- IRCCS Neuromed Institute, 86077 Pozzilli, IS, Italy
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Sánchez-Sánchez ML, Ruescas-Nicolau MA, Arnal-Gómez A, Iosa M, Pérez-Alenda S, Cortés-Amador S. Validity of an android device for assessing mobility in people with chronic stroke and hemiparesis: a cross-sectional study. J Neuroeng Rehabil 2024; 21:54. [PMID: 38616288 PMCID: PMC11017601 DOI: 10.1186/s12984-024-01346-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 03/22/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Incorporating instrument measurements into clinical assessments can improve the accuracy of results when assessing mobility related to activities of daily living. This can assist clinicians in making evidence-based decisions. In this context, kinematic measures are considered essential for the assessment of sensorimotor recovery after stroke. The aim of this study was to assess the validity of using an Android device to evaluate kinematic data during the performance of a standardized mobility test in people with chronic stroke and hemiparesis. METHODS This is a cross-sectional study including 36 individuals with chronic stroke and hemiparesis and 33 age-matched healthy subjects. A simple smartphone attached to the lumbar spine with an elastic band was used to measure participants' kinematics during a standardized mobility test by using the inertial sensor embedded in it. This test includes postural control, walking, turning and sitting down, and standing up. Differences between stroke and non-stroke participants in the kinematic parameters obtained after data sensor processing were studied, as well as in the total execution and reaction times. Also, the relationship between the kinematic parameters and the community ambulation ability, degree of disability and functional mobility of individuals with stroke was studied. RESULTS Compared to controls, participants with chronic stroke showed a larger medial-lateral displacement (p = 0.022) in bipedal stance, a higher medial-lateral range (p < 0.001) and a lower cranio-caudal range (p = 0.024) when walking, and lower turn-to-sit power (p = 0.001), turn-to-sit jerk (p = 0.026) and sit-to-stand jerk (p = 0.001) when assessing turn-to-sit-to-stand. Medial-lateral range and total execution time significantly correlated with all the clinical tests (p < 0.005), and resulted significantly different between independent and limited community ambulation patients (p = 0.042 and p = 0.006, respectively) as well as stroke participants with significant disability or slight/moderate disability (p = 0.024 and p = 0.041, respectively). CONCLUSION This study reports a valid, single, quick and easy-to-use test for assessing kinematic parameters in chronic stroke survivors by using a standardized mobility test with a smartphone. This measurement could provide valid clinical information on reaction time and kinematic parameters of postural control and gait, which can help in planning better intervention approaches.
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Affiliation(s)
- M Luz Sánchez-Sánchez
- Physiotherapy in Motion. Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Gascó Oliag n 5, 46010, Valencia, Spain
| | - Maria-Arantzazu Ruescas-Nicolau
- Physiotherapy in Motion. Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Gascó Oliag n 5, 46010, Valencia, Spain.
| | - Anna Arnal-Gómez
- Physiotherapy in Motion. Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Gascó Oliag n 5, 46010, Valencia, Spain
| | - Marco Iosa
- Department of Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185, Rome, Italy
- Smart Lab, Santa Lucia Foundation IRCCS, Via Ardeatina 306, 00179, Rome, Italy
| | - Sofía Pérez-Alenda
- Physiotherapy in Motion. Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Gascó Oliag n 5, 46010, Valencia, Spain
| | - Sara Cortés-Amador
- Physiotherapy in Motion. Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Gascó Oliag n 5, 46010, Valencia, Spain
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Tramontano M, Orejel Bustos AS, Montemurro R, Vasta S, Marangon G, Belluscio V, Morone G, Modugno N, Buzzi MG, Formisano R, Bergamini E, Vannozzi G. Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions. SENSORS (BASEL, SWITZERLAND) 2024; 24:2451. [PMID: 38676068 PMCID: PMC11053882 DOI: 10.3390/s24082451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024]
Abstract
Neurological disorders such as stroke, Parkinson's disease (PD), and severe traumatic brain injury (sTBI) are leading global causes of disability and mortality. This study aimed to assess the ability to walk of patients with sTBI, stroke, and PD, identifying the differences in dynamic postural stability, symmetry, and smoothness during various dynamic motor tasks. Sixty people with neurological disorders and 20 healthy participants were recruited. Inertial measurement unit (IMU) sensors were employed to measure spatiotemporal parameters and gait quality indices during different motor tasks. The Mini-BESTest, Berg Balance Scale, and Dynamic Gait Index Scoring were also used to evaluate balance and gait. People with stroke exhibited the most compromised biomechanical patterns, with lower walking speed, increased stride duration, and decreased stride frequency. They also showed higher upper body instability and greater variability in gait stability indices, as well as less gait symmetry and smoothness. PD and sTBI patients displayed significantly different temporal parameters and differences in stability parameters only at the pelvis level and in the smoothness index during both linear and curved paths. This study provides a biomechanical characterization of dynamic stability, symmetry, and smoothness in people with stroke, sTBI, and PD using an IMU-based ecological assessment.
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Affiliation(s)
- Marco Tramontano
- Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, 40138 Bologna, Italy;
- Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Amaranta Soledad Orejel Bustos
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Piazza Lauro de Bosis, 00135 Roma, Italy;
| | - Rebecca Montemurro
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
| | - Simona Vasta
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
| | - Gabriele Marangon
- Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, 66100 Chieti, Italy
| | - Valeria Belluscio
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Piazza Lauro de Bosis, 00135 Roma, Italy;
| | - Giovanni Morone
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
- San Raffaele Institute of Sulmona, 67039 Sulmona, Italy
| | | | - Maria Gabriella Buzzi
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
| | - Rita Formisano
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
| | - Elena Bergamini
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Piazza Lauro de Bosis, 00135 Roma, Italy;
- Department of Management, Information and Production Engineering, University of Bergamo, Via Pasubio 7b, 24044 Dalmine, BG, Italy
| | - Giuseppe Vannozzi
- Santa Lucia Foundation IRCCS (Institute for Research and Health Care), 00179 Rome, Italy; (A.S.O.B.); (V.B.); (M.G.B.); (R.F.)
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Piazza Lauro de Bosis, 00135 Roma, Italy;
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Irrera F, Gumiero A, Zampogna A, Boscari F, Avogaro A, Gazzanti Pugliese di Cotrone MA, Patera M, Della Torre L, Picozzi N, Suppa A. Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition. SENSORS (BASEL, SWITZERLAND) 2024; 24:1554. [PMID: 38475089 DOI: 10.3390/s24051554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024]
Abstract
We propose a new methodology for long-term biopotential recording based on an MEMS multisensor integrated platform featuring a commercial electrostatic charge-transfer sensor. This family of sensors was originally intended for presence tracking in the automotive industry, so the existing setup was engineered for the acquisition of electrocardiograms, electroencephalograms, electrooculograms, and electromyography, designing a dedicated front-end and writing proper firmware for the specific application. Systematic tests on controls and nocturnal acquisitions from patients in a domestic environment will be discussed in detail. The excellent results indicate that this technology can provide a low-power, unexplored solution to biopotential acquisition. The technological breakthrough is in that it enables adding this type of functionality to existing MEMS boards at near-zero additional power consumption. For these reasons, it opens up additional possibilities for wearable sensors and strengthens the role of MEMS technology in medical wearables for the long-term synchronous acquisition of a wide range of signals.
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Affiliation(s)
- Fernanda Irrera
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00185 Rome, Italy
| | | | - Alessandro Zampogna
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
| | | | - Angelo Avogaro
- Department of Medicine, University of Padua, 35122 Padua, Italy
| | | | - Martina Patera
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
| | | | | | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
- IRCCS Neuromed, 86077 Pozzilli, Italy
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Bassi E, Santomauro I, Basso I, Busca E, Maoret R, Dal Molin A. Wearable technology use in long-term care facilities for older adults: a scoping review protocol. JBI Evid Synth 2024; 22:325-334. [PMID: 37747430 DOI: 10.11124/jbies-23-00079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
OBJECTIVE The objective of this scoping review is to explore how wearable technology is being used to care for older adults in long-term care facilities. INTRODUCTION The use of digital health technologies to support care delivery in long-term care facilities for older adults has grown significantly in recent years, especially since the COVID-19 pandemic. Wearable technology refers to devices worn or attached to the body that can track a variety of health-related data, such as vital signs, falls, and sleep patterns. Despite the evidence that wearable devices are playing an increasing role in older adults' care, no review has been conducted on how wearable technology is being used in long-term care facilities. INCLUSION CRITERIA This review will consider studies that include people aged over 65, with any health condition or level of disability, who live in long-term care facilities. Primary and secondary studies using quantitative, qualitative, and mixed methods study designs will be included. Dissertations and policy documents will also be considered. METHODS Data sources will include comprehensive searches of electronic databases (MEDLINE, Embase, CINAHL, and Scopus), gray literature, and reference scanning of relevant studies. Two independent reviewers will screen titles, abstracts, and full texts of the selected studies. Data extraction will be performed using a tool developed by the researchers. Data will be mapped and analyzed. Descriptive frequencies and content analysis will be included, along with the tabulated results, which will be used to present the findings with regard to the review objectives. REVIEW REGISTRATION Open Science Framework https://osf.io/r9qtd.
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Affiliation(s)
- Erika Bassi
- Dipartimento di Medicina Traslazionale, Università del Piemonte Orientale, Novara, Italy
- Azienda Ospedaliero Universitaria Maggiore della Carità di Novara, Novara, Italy
| | - Isabella Santomauro
- Dipartimento di Medicina Traslazionale, Università del Piemonte Orientale, Novara, Italy
| | - Ines Basso
- Dipartimento di Medicina Traslazionale, Università del Piemonte Orientale, Novara, Italy
| | - Erica Busca
- Dipartimento di Medicina Traslazionale, Università del Piemonte Orientale, Novara, Italy
- Azienda Ospedaliero Universitaria Maggiore della Carità di Novara, Novara, Italy
| | - Roberta Maoret
- Fondazione Biblioteca Biomedica Biellese 3BI, Biella, Italy
| | - Alberto Dal Molin
- Dipartimento di Medicina Traslazionale, Università del Piemonte Orientale, Novara, Italy
- Azienda Ospedaliero Universitaria Maggiore della Carità di Novara, Novara, Italy
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Tramontano M, Argento O, Orejel Bustos AS, DE Angelis S, Montemurro R, Bossa M, Belluscio V, Bergamini E, Vannozzi G, Nocentini U. Cognitive-motor dual-task training improves dynamic stability during straight and curved gait in patients with multiple sclerosis: a randomized controlled trial. Eur J Phys Rehabil Med 2024; 60:27-36. [PMID: 37997324 DOI: 10.23736/s1973-9087.23.08156-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
BACKGROUND Multiple Sclerosis (MS) is a chronic inflammatory, demyelinating, degenerative disease of the central nervous system and the second most frequent cause of permanent disability in young adults. One of the most common issues concerns the ability to perform postural and gait tasks while simultaneously completing a cognitive task (namely, dual-task DT). AIM Assessing cognitive-motor dual-task training effectiveness in patients with Multiple Sclerosis (PwMS) for dynamic gait quality when walking on straight, curved, and blindfolded paths. DESIGN Two-arm single-blind randomized controlled trial. Follow-up at 8 weeks. SETTING Neurorehabilitation Hospital. POPULATION A sample of 42 PwMS aged 28-71, with a score of 4.00±1.52 on the Expanded Disability Status Scale were recruited. METHODS Participants were randomized in conventional (CTg) neurorehabilitation and dual-task training (DTg) groups and received 12 sessions, 3 days/week/4 weeks. They were assessed at baseline (T0), after the treatment (T1), and 8 weeks after the end of the treatment (T2) through Mini-BESTest, Tinetti Performance Oriented Mobility Assessment, Modified Barthel Index, and a set of spatiotemporal parameters and gait quality indices related to stability, symmetry, and smoothness of gait extracted from initial measurement units (IMUs) data during the execution of the 10-meter Walk Test (10mWT), the Figure-of-8 Walk Test (Fo8WT) and the Fukuda Stepping Test (FST). RESULTS Thirty-one PwMS completed the trial at T2. Significant improvement within subjects was found in Mini-BESTest scores for DTg from T0 to T1. The IMU-based assessment indicated significant differences in stability (P<0.01) and smoothness (P<0.05) measures between CTg and DTg during 10mWT and Fo8WT. Substantial improvements (P<0.017) were also found in the inter-session comparison, primarily for DTg, particularly for stability, symmetry, and smoothness measures. CONCLUSIONS This study supports the effectiveness of DT in promoting dynamic motor abilities in PwMS. CLINICAL REHABILITATION IMPACT Cognitive-motor DT implemented into the neurorehabilitation conventional program could be a useful strategy for gait and balance rehabilitation.
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Affiliation(s)
- Marco Tramontano
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy -
- Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy -
| | - Ornella Argento
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Amaranta S Orejel Bustos
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Sara DE Angelis
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Rebecca Montemurro
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Michela Bossa
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Valeria Belluscio
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Elena Bergamini
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Giuseppe Vannozzi
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Ugo Nocentini
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
- Department of Clinical Sciences and Translational Medicine, University of Rome Tor Vergata, Rome, Italy
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10
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Abdollah V, Noamani A, Ralston J, Ho C, Rouhani H. Effect of test duration and sensor location on the reliability of standing balance parameters derived using body-mounted accelerometers. Biomed Eng Online 2024; 23:2. [PMID: 38167089 PMCID: PMC10763154 DOI: 10.1186/s12938-023-01196-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Balance parameters derived from wearable sensor measurements during postural sway have been shown to be sensitive to experimental variables such as test duration, sensor number, and sensor location that influence the magnitude and frequency-related properties of measured center-of-mass (COM) and center-of-pressure (COP) excursions. In this study, we investigated the effects of test duration, the number of sensors, and sensor location on the reliability of standing balance parameters derived using body-mounted accelerometers. METHODS Twelve volunteers without any prior history of balance disorders were enrolled in the study. They were asked to perform two 2-min quiet standing tests with two different testing conditions (eyes open and eyes closed). Five inertial measurement units (IMUs) were employed to capture postural sway data from each participant. IMUs were attached to the participants' right legs, the second sacral vertebra, sternum, and the left mastoid processes. Balance parameters of interest were calculated for the single head, sternum, and sacrum accelerometers, as well as, a three-sensor combination (leg, sacrum, and sternum). Accelerometer data were used to estimate COP-based and COM-based balance parameters during quiet standing. To examine the effect of test duration and sensor location, each 120-s recording from different sensor locations was segmented into 20-, 30-, 40-, 50-, 60-, 70-, 80-, 90-, 100-, and 110-s intervals. For each of these time intervals, time- and frequency-domain balance parameters were calculated for all sensor locations. RESULTS Most COM-based and COP-based balance parameters could be derived reliably for clinical applications (Intraclass-Correlation Coefficient, ICC ≥ 0.90) with a minimum test duration of 70 and 110 s, respectively. The exceptions were COP-based parameters obtained using a sacrum-mounted sensor, especially in the eyes-closed condition, which could not be reliably used for clinical applications even with a 120-s test duration. CONCLUSIONS Most standing balance parameters can be reliably measured using a single head- or sternum-mounted sensor within a 120-s test duration. For other sensor locations, the minimum test duration may be longer and may depend on the specific test conditions.
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Affiliation(s)
- Vahid Abdollah
- Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada
- Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada
| | - Alireza Noamani
- Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada
| | | | - Chester Ho
- Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada
- Glenrose Rehabilitation Hospital, Edmonton, AB, Canada
| | - Hossein Rouhani
- Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
- Glenrose Rehabilitation Hospital, Edmonton, AB, Canada.
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11
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Tramontano M, Manzari L, Bustos ASO, De Angelis S, Montemurro R, Belluscio V, Bergamini E, Vannozzi G. Instrumental assessment of dynamic postural stability in patients with unilateral vestibular hypofunction during straight, curved, and blindfolded gait. Eur Arch Otorhinolaryngol 2024; 281:83-94. [PMID: 37382626 DOI: 10.1007/s00405-023-08082-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/15/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE To characterise dynamic postural stability of gait in patients with vestibular hypofunction (PwVH) using a sensor-based assessment while performing dynamic tasks and to correlate the results of this evaluation with clinical scales. METHODS This cross-sectional study involved 22 adults between 18 and 70 years old from a healthcare hospital centre. Eleven patients suffering from chronic vestibular hypofunction (PwVH) and eleven healthy controls (HC) were evaluated through a combined inertial sensor-based and clinical scale assessment. Participants were equipped with five synchronised inertial measurement units (IMUs) (128 Hz, Opal, APDM, Portland, OR, USA): three IMUs were located on the occipital cranium bone, near the lambdoid suture of the head, at the centre of the sternum, and at L4/L5 level, just above the pelvis, and were used to quantify gait quality parameters, while the other two were located slightly above lateral malleoli and used to perform stride and step segmentation. Three different motor tasks were performed in a randomized order: the 10-m Walk Test (10mWT), the Figure of Eight Walk Test (Fo8WT) and the Fukuda Stepping Test (FST). A set of gait quality parameters related to stability, symmetry and smoothness of gait were extracted from IMU data and correlated with the clinical scale scores. PwVH and HC results were compared to test for significant between-group differences. RESULTS Significant differences were found for the three motor tasks (10mWT, Fo8WT and FST) when comparing PwVH and HC groups. For the 10mWT and the Fo8WT, significant differences between the PwVH and HC groups were found for the stability indexes. Considering the FST, significant differences between the PwVH and HC groups were also found in the stability and symmetry of gait. A significant correlation was found between the Dizziness Handicap Inventory and gait indices during the Fo8WT. CONCLUSIONS In this study, we characterized the dynamic postural stability alterations during linear, curved, and blindfolded walking/stepping in PwVH combining an instrumental IMU-based with traditional clinical scales approach. Combining instrumental and clinical evaluation for dynamic stability of gait alterations in PwVH is useful in thoroughly evaluating the effects of unilateral vestibular hypofunction.
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Affiliation(s)
- M Tramontano
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
| | | | - A S Orejel Bustos
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135, Rome, Italy
| | - S De Angelis
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
| | - R Montemurro
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
| | - V Belluscio
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135, Rome, Italy
| | - E Bergamini
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135, Rome, Italy
| | - G Vannozzi
- Fondazione Santa Lucia IRCCS, 00179, Rome, Italy
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135, Rome, Italy
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12
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Clark E, Podschun L, Church K, Fleagle A, Hull P, Ohree S, Springfield M, Wood S. Use of accelerometers in determining risk of falls in individuals post-stroke: A systematic review. Clin Rehabil 2023; 37:1467-1478. [PMID: 37067051 DOI: 10.1177/02692155231168303] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
OBJECTIVE The aim of this systematic review was to determine if the diagnostic capabilities of wearable accelerometers enhanced, provided earlier detection, or improved fall risk assessment when evaluating individuals with chronic stroke. DATA SOURCES CINAHL and PubMed databases were searched for articles from 2015 to 2023 utilizing key terms. REVIEW METHODS A team of researchers reviewed articles for bias via the Quality in Prognostic Studies tool, and further analyzed the data to answer the research question. RESULTS Four studies were included in the systematic review. When utilizing an accelerometer, the vertical axis was most predictive of falls, followed by the medio-lateral axis and the anterior-posterior axis. L2-3 was the most common accelerometer placement for fall risk assessment, however no uniformity existed in the literature on placement, number of accelerometers, or type. It was determined that gait symmetry, the Timed Up and Go, Berg Balance Scale, and Longitudinal Aging Study Amsterdam best predicted falls risk. CONCLUSION Based on limited available evidence, clinicians should continue to perform a comprehensive examination and evaluation for fall risk, that includes the use of a combination of evidence-based outcome measures and gait characteristics to develop an individualized plan of care for individuals post-stroke. However, further research is necessary to determine the added value of accelerometers as well as type, applicability of data, and placement.
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Affiliation(s)
| | | | | | | | - Paige Hull
- AdventHealth University, Orlando, FL, USA
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13
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López-Blanco R, Sorrentino Rodriguez A, Cubo E, Gabilondo Í, Ezpeleta D, Labrador-Espinosa MÁ, Sánchez-Ferro Á, Tejero C, Matarazzo M. Impact of new technologies on neurology in Spain. Review by the New Technologies Ad-Hoc Committee of the Spanish Society of Neurology. Neurologia 2023; 38:591-598. [PMID: 35842132 DOI: 10.1016/j.nrleng.2020.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/10/2020] [Indexed: 10/17/2022] Open
Abstract
INTRODUCTION New technologies are increasingly widespread in biomedicine. Using the consensus definition of new technologies established by the New Technologies Ad-Hoc Committee of the Spanish Society of Neurology (SEN), we evaluated the impact of these technologies on Spanish neurology, based on communications presented at Annual Meetings of the SEN. MATERIAL AND METHODS We defined the concept of new technology in neurology as a novel technology or novel application of an existing technology, characterised by a certain degree of coherence persisting over time, with the potential to have an impact on the present and/or future of neurology. We conducted a descriptive study of scientific communications presented at the SEN's annual meetings from 2012 to 2018, analysing the type of technology, the field of neurology, and the geographical provenance of the studies. RESULTS We identified 299 communications related with new technologies from a total of 8139 (3.7%), including 120 posters and 179 oral communications, ranging from 1.6% of all communications in 2012 to 6.8% in 2018. The technologies most commonly addressed were advanced neuroimaging (24.7%), biosensors (17.1%), electrophysiology and neurostimulation (14.7%), and telemedicine (13.7%). The neurological fields where new technologies were most widely employed were movement disorders (18.4%), cerebrovascular diseases (15.7%), and dementia (13.4%). Madrid was the region presenting the highest number of communications related to new technologies (32.8%), followed by Catalonia (26.8%) and Andalusia (9.0%). CONCLUSIONS The number of communications addressing new technologies follows an upward trend. The number of technologies used in neurology has increased in parallel with their availability. We found scientific communications in all neurological subspecialties, with a heterogeneous geographical distribution.
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Affiliation(s)
- R López-Blanco
- Servicio Integrado de Neurología, Hospital Universitario Rey Juan Carlos (Móstoles), Hospital General de Villalba, Hospital Universitario Infanta Elena (Valdemoro), Madrid, Spain
| | | | - E Cubo
- Hospital Universitario Burgos, Burgos, Spain
| | - Í Gabilondo
- Hospital Universitario de Cruces, Barakaldo, Spain
| | - D Ezpeleta
- Hospital Universitario Quirónsalud Madrid, Pozuelo de Alarcón, Madrid, Spain
| | - M Á Labrador-Espinosa
- Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Á Sánchez-Ferro
- HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Madrid, Spain
| | - C Tejero
- Hospital Clinico Universitario Lozano Blesa, Zaragoza, Spain
| | - M Matarazzo
- HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Madrid, Spain; Pacific Parkinson's Research Centre, University of British Columbia, Vancouver, BC, Canada.
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14
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Kuru Çolak T, Özen T, Günay Yazıcı C, Sarı DM, Karabacak N, Sarı Z, Polat MG, Doğan B, Tarım M. A new device for assessment and training the human balance and coordination: Marmara Balance and Education System (MarBES). Ir J Med Sci 2023; 192:2409-2416. [PMID: 36752948 DOI: 10.1007/s11845-023-03299-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/28/2023] [Indexed: 02/09/2023]
Abstract
BACKGROUND Balance and coordination are important for performing activities of daily living. Balance and coordination assessment and training are used by physiotherapists in many different rehabilitation areas. Marmara Balance and Education System (MarBES) is a device developed to evaluate and improve balance and coordination. AIMS To examine the test-retest reliability of the MarBES device. METHODS Double-leg and single-leg (eyes open-closed) tests were applied to healthy young adult participants for balance testing on the MarBES device. Weight data is estimated from pressure sensors located in 4 different corners and a score is calculated with computer software for the individual's center of gravity (center of pressure X, Y) and the amount of deviation from the center for each axis. Weight transfer to the target surface was measured for assessment of the participants' coordination performance. Participants rested for 10 min and all measurements were repeated by the same evaluator. The obtained data were recorded and the reliability of the measurements was evaluated with Spearman's rho correlation analysis. RESULTS A total of 40 healthy young individuals (28 female) with a mean age of 21 years were included. The balance assessments with MarBES showed moderate to good reliability (ICC: 0.535-0.903). The coordination assessment results showed moderate to good reliability (ICC: 0.575-0.712). CONCLUSIONS Objective evaluation of balance and coordination parameters is very important in rehabilitation. Results of the study showed that the MarBES device developed by the researchers is a reliable method for the evaluation of balance and coordination in healthy young individuals.
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Affiliation(s)
- Tuğba Kuru Çolak
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey.
| | - Tuğçe Özen
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey
| | - Canan Günay Yazıcı
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey
| | - Dilara Merve Sarı
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey
| | - Neslihan Karabacak
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Nuh Naci Yazgan University, Kayseri, Turkey
| | - Zübeyir Sarı
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey
| | - Mine Gülden Polat
- Physiotherapy and Rehabilitation Department, Faculty of Health Sciences, Marmara University, Başıbüyük Mahallesi, Başıbüyük Cd. No:9, Maltepe, Istanbul, 34854, Turkey
| | - Barış Doğan
- Mechatronics Engineering Department, Faculty of Technology, Marmara Üniversitesi, Istanbul, Turkey
| | - Mehveş Tarım
- Health Management Department, Faculty of Health Sciences, Marmara University, Istanbul, Turkey
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15
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Bohlke K, Redfern MS, Rosso AL, Sejdic E. Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review. Aging Clin Exp Res 2023; 35:1991-2007. [PMID: 37526887 PMCID: PMC10881067 DOI: 10.1007/s40520-023-02503-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 07/11/2023] [Indexed: 08/02/2023]
Abstract
Accelerometers provide an opportunity to expand standing balance assessments outside of the laboratory. The purpose of this narrative review is to show that accelerometers are accurate, objective, and accessible tools for balance assessment. Accelerometry has been validated against current gold standard technology, such as optical motion capture systems and force plates. Many studies have been conducted to show how accelerometers can be useful for clinical examinations. Recent studies have begun to apply classification algorithms to accelerometry balance measures to discriminate populations at risk for falls. In addition to healthy older adults, accelerometry can monitor balance in patient populations such as Parkinson's disease, multiple sclerosis, and traumatic brain injury. The lack of software packages or easy-to-use applications have hindered the shift into the clinical space. Lack of consensus on outcome metrics has also slowed the clinical adoption of accelerometer-based balance assessments. Future studies should focus on metrics that are most helpful to evaluate balance in specific populations and protocols that are clinically efficacious.
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Affiliation(s)
- Kayla Bohlke
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Ervin Sejdic
- The Edward S. Rogers Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, University of Toronto, 27 King's College Cir, Toronto, ON, M5S, Canada.
- North York General Hospital, 4001 Leslie St., Toronto, ON, M2K, Canada.
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16
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Butowicz C, Yoder AJ, Hendershot BD, Gunterstockman B, Farrokhi S. Principal components analysis of postural sway in persons with unilateral lower limb amputation: A wearable sensor approach. J Biomech 2023; 158:111768. [PMID: 37625201 DOI: 10.1016/j.jbiomech.2023.111768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 07/23/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023]
Abstract
Standing sway assessments can detect sensory imbalances which compromise postural control. Persons with lower limb amputation (LLA) often demonstrate impaired postural control, increasing fall risk. Here, principal features of postural sway were identified in persons with unilateral LLA using a single, commercially available wearable sensor. Sixty-one persons with LLA (n = 44 transtibial; n = 17 transfemoral) stood on a firm surface with eyes open/closed while wearing a single accelerometer mounted over the sacrum. Common parameters quantified spatiotemporal and spectral features of sway in anterior-posterior (AP) and mediolateral (ML) directions. Principal component (PC) dimensionality reduction was applied and loadings inspected to identify a reduced, non-redundant set among 14 original variables capturing 90 % variance. Six PCs described ≥ 90 % variance, with the first 3 explaining 75 %. With eyes open and closed, PC1 was loaded by variables characterizing trajectory planar size: area, jerk (i.e., sway smoothness), AP/ML RMS path distance, and AP/ML path range. With eyes open, PC2 was loaded by variables characterizing direction and spectral features: ellipse rotation, AP centroidal frequency, and ML jerk. With eyes closed, PC2 spectral loadings increased: ML centroidal frequency, ML frequency dispersion, and AP centroidal frequency. With eyes open, PC3 was loaded by ellipse rotation, jerk, ML velocity, ML centroidal frequency. With eyes closed, PC3 was loaded by ellipse rotation, ML centroidal frequency, ML frequency dispersion, and AP path velocity, characterizing off-axis error/corrections. RMS of path distance, ellipse rotation, centroidal frequency, frequency dispersion, path velocity, and jerk are a concise parameter set, derived from an accelerometer, to capture principal sway features in persons with LLA during standing balance with visual perturbations.
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Affiliation(s)
- Courtney Butowicz
- Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Rehabilitation, Walter Reed National Military Medical Center, Bethesda, MD 20889, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
| | - Adam J Yoder
- Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States
| | - Brad D Hendershot
- Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Rehabilitation, Walter Reed National Military Medical Center, Bethesda, MD 20889, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States
| | - Brittney Gunterstockman
- Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States; Department of Physical Therapy, Lincoln Memorial University, Knoxville, TN 37932, United States
| | - Shawn Farrokhi
- Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States
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17
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Berg-Hansen P, Moen SM, Klyve TD, Gonzalez V, Seeberg TM, Celius EG, Austeng A, Meyer F. The instrumented single leg stance test detects early balance impairment in people with multiple sclerosis. Front Neurol 2023; 14:1227374. [PMID: 37538255 PMCID: PMC10394643 DOI: 10.3389/fneur.2023.1227374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 06/28/2023] [Indexed: 08/05/2023] Open
Abstract
Balance impairment is frequent in people with multiple sclerosis (pwMS) and affects risk of falls and quality of life. By using inertial measurement units (IMUs) on the Single Leg Stance Test (SLS) we aimed to discriminate healthy controls (HC) from pwMS and detect differences in balance endurance and quality. Thirdly, we wanted to test the correlation between instrumented SLS parameters and self-reported measures of gait and balance. Fifty-five pwMS with mild (EDSS<4) and moderate disability (EDSS≥4) and 20 HC performed the SLS with 3 IMUs placed on the feet and sacrum and filled the Twelve Item Multiple Sclerosis Walking Scale (MSWS-12) questionnaire. A linear mixed model was used to compare differences in the automated balance measures. Balance duration was significantly longer in HC compared to pwMS (p < 0.001) and between the two disability groups (p < 0.001). Instrumented measures identified that trunk stability (normalized mediolateral and antero-posterior center of mass stability) had the strongest association with disability (R2 marginal 0.30, p < 0.001) and correlated well with MSWS-12 (R = 0.650, p < 0.001). PwMS tended to overestimate own balance compared to measured balance duration. The use of both self-reported and objective assessments from IMUs can secure the follow-up of balance in pwMS.
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Affiliation(s)
- Pål Berg-Hansen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | | | | | - Victor Gonzalez
- SINTEF Digital, Smart Sensor and Micro Systems, Oslo, Norway
| | | | - Elisabeth Gulowsen Celius
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Frédéric Meyer
- Department of Informatics, University of Oslo, Oslo, Norway
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Timotius IK, Roelofs RF, Richmond-Hacham B, Noldus LPJJ, von Hörsten S, Bikovski L. CatWalk XT gait parameters: a review of reported parameters in pre-clinical studies of multiple central nervous system and peripheral nervous system disease models. Front Behav Neurosci 2023; 17:1147784. [PMID: 37351154 PMCID: PMC10284348 DOI: 10.3389/fnbeh.2023.1147784] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/16/2023] [Indexed: 06/24/2023] Open
Abstract
Automated gait assessment tests are used in studies of disorders characterized by gait impairment. CatWalk XT is one of the first commercially available automated systems for analyzing the gait of rodents and is currently the most used system in peer-reviewed publications. This automated gait analysis system can generate a large number of gait parameters. However, this creates a new challenge in selecting relevant parameters that describe the changes within a particular disease model. Here, for the first time, we performed a multi-disorder review on published CatWalk XT data. We identify commonly reported CatWalk XT gait parameters derived from 91 peer-reviewed experimental studies in mice, covering six disorders of the central nervous system (CNS) and peripheral nervous system (PNS). The disorders modeled in mice were traumatic brain injury (TBI), stroke, sciatic nerve injury (SNI), spinal cord injury (SCI), Parkinson's disease (PD), and ataxia. Our review consisted of parameter selection, clustering, categorization, statistical evaluation, and data visualization. It suggests that certain gait parameters serve as potential indicators of gait dysfunction across multiple disease models, while others are specific to particular models. The findings also suggest that the more site-specific the injury is, the fewer parameters are reported to characterize its gait abnormalities. This study strives to present a clearly organized picture of gait parameters used in each one of the different mouse models, potentially helping novel CatWalk XT users to apply this information to similar or related mouse models they are working on.
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Affiliation(s)
- Ivanna K. Timotius
- Department of Electronics Engineering, Satya Wacana Christian University, Salatiga, Indonesia
- Department of Experimental Therapy, University Hospital Erlangen and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | | | - Bar Richmond-Hacham
- Myers Neuro-Behavioral Core Facility, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Lucas P. J. J. Noldus
- Noldus Information Technology BV, Wageningen, Netherlands
- Donders Center for Neuroscience, Radboud University, Nijmegen, Netherlands
| | - Stephan von Hörsten
- Department of Experimental Therapy, University Hospital Erlangen and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Lior Bikovski
- Myers Neuro-Behavioral Core Facility, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
- School of Behavioral Sciences, Netanya Academic College, Netanya, Israel
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19
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Liuzzi P, Carpinella I, Anastasi D, Gervasoni E, Lencioni T, Bertoni R, Carrozza MC, Cattaneo D, Ferrarin M, Mannini A. Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors. Sci Rep 2023; 13:8640. [PMID: 37244933 PMCID: PMC10224964 DOI: 10.1038/s41598-023-35744-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/23/2023] [Indexed: 05/29/2023] Open
Abstract
Poor dynamic balance and impaired gait adaptation to different contexts are hallmarks of people with neurological disorders (PwND), leading to difficulties in daily life and increased fall risk. Frequent assessment of dynamic balance and gait adaptability is therefore essential for monitoring the evolution of these impairments and/or the long-term effects of rehabilitation. The modified dynamic gait index (mDGI) is a validated clinical test specifically devoted to evaluating gait facets in clinical settings under a physiotherapist's supervision. The need of a clinical environment, consequently, limits the number of assessments. Wearable sensors are increasingly used to measure balance and locomotion in real-world contexts and may permit an increase in monitoring frequency. This study aims to provide a preliminary test of this opportunity by using nested cross-validated machine learning regressors to predict the mDGI scores of 95 PwND via inertial signals collected from short steady-state walking bouts derived from the 6-minute walk test. Four different models were compared, one for each pathology (multiple sclerosis, Parkinson's disease, and stroke) and one for the pooled multipathological cohort. Model explanations were computed on the best-performing solution; the model trained on the multipathological cohort yielded a median (interquartile range) absolute test error of 3.58 (5.38) points. In total, 76% of the predictions were within the mDGI's minimal detectable change of 5 points. These results confirm that steady-state walking measurements provide information about dynamic balance and gait adaptability and can help clinicians identify important features to improve upon during rehabilitation. Future developments will include training of the method using short steady-state walking bouts in real-world settings, analysing the feasibility of this solution to intensify performance monitoring, providing prompt detection of worsening/improvements, and complementing clinical assessments.
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Affiliation(s)
- Piergiuseppe Liuzzi
- AIRLab, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143, Florence, Italy
- Scuola Superiore Sant'Anna, Istituto di BioRobotica, 56025, Pontedera, Italy
| | - Ilaria Carpinella
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy.
| | - Denise Anastasi
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
| | - Elisa Gervasoni
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
| | - Tiziana Lencioni
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
| | - Rita Bertoni
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
| | | | - Davide Cattaneo
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università di Milano, 20122, Milan, Italy
| | - Maurizio Ferrarin
- LAMoBIR and LaRiCE, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148, Milan, Italy
| | - Andrea Mannini
- AIRLab, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143, Florence, Italy
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20
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Kongsawasdi S, Chuatrakoon B, Angkawanish T, Thitaram C, Langkaphin W, Namwongprom K, Prupetkaew P, Wantanajittikul K. Variability of gait characteristics in lameness elephant. J Vet Med Sci 2023; 85:226-231. [PMID: 36517004 PMCID: PMC10017298 DOI: 10.1292/jvms.22-0357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Lameness has a significant impact not only on the economy but also on elephant welfare. Several gait characteristics are altered to compensate for the discomfort. The traditional approach to detecting lameness has relied on mahout and veterinarian observation. The study aimed to determine how lameness affected the variability of an elephant's gait by using a three-dimensional inertial measurement unit (IMU) with Wi-Fi sensors. Five elephants with lameness, as determined by an experienced veterinarian and two, non-lamed elephants, aged between 58-80 years were included in the study. Gait biomechanics including limb segment motion, obtained from individually gyrometric- and accelero-based parameters and demonstrated as a graphical pattern showing changes in absolute rotation angle over time. The result revealed some character changes in gait kinematics parameters, but it was heterogeneity with an inconclusive pattern. The interlimb coordination could be a part of maintaining the actual locomotion pattern, or it could be a result of the mild degree of lameness for which all of the clients have compensated. This study introduces a new objective method for quantifying gait changes caused by lameness, additional research is required to make this objective more clinically applicable.
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Affiliation(s)
- Siriphan Kongsawasdi
- Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.,Center of Elephant and Wildlife Health and Research, Chiang Mai University, Chiang Mai, Thailand
| | - Busaba Chuatrakoon
- Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
| | | | - Chatchote Thitaram
- Center of Elephant and Wildlife Health and Research, Chiang Mai University, Chiang Mai, Thailand.,Department of Companion Animals and Wildlife Clinics, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | | | - Paphawee Prupetkaew
- Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Kittichai Wantanajittikul
- Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
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21
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Gawronska A, Rosiak O, Pajor A, Janc M, Kotas R, Kaminski M, Zamyslowska-Szmytke E, Jozefowicz-Korczynska M. Instrumental and Non-Instrumental Measurements in Patients with Peripheral Vestibular Dysfunctions. SENSORS (BASEL, SWITZERLAND) 2023; 23:1994. [PMID: 36850594 PMCID: PMC9963841 DOI: 10.3390/s23041994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Vestibular dysfunction is a disturbance of the body's balance system. The control of balance and gait has a particular influence on the quality of life. Currently, assessing patients with these problems is mainly subjective. New assessment options using wearables may provide complementary and more objective information. Posturography makes it possible to determine the extent and type of posture dysfunction, which makes it possible to plan and monitor the effectiveness of physical rehabilitation therapy. This study evaluates the effectiveness of non-instrumental clinical tests and the instrumental mobile posturography MediPost device for patients with unilateral vestibular disorders. The study group included 40 patients. A subjective description of the symptoms was evaluated using a questionnaire about the intensity of dizziness using the Dizziness Handicap Inventory (DHI) and Vertigo Syndrome Scale-short form (VSS-sf). The clinical protocol contained clinical tests and MediPost measurements using a Modified Clinical Test of Sensory Interaction on Balance. All patients underwent vestibular rehabilitation therapy (VRT) for four weeks. The non-instrumental measurement results were statistically significant, and the best was in the Timed Up and Go test (TUG). In MediPost, condition 4 was the most valuable. This research demonstrated the possibilities of using an instrumental test (MediPost) as an alternative method to assess balance.
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Affiliation(s)
- Anna Gawronska
- Balance Disorders Unit, Department of Otolaryngology, Medical University of Lodz, The Norbert BarlickMemorial Teaching Hospital, 90-153 Lodz, Poland
| | - Oskar Rosiak
- Department of Otolaryngology, Polish Mother Memorial Hospital Research Institute, 93-338 Lodz, Poland
| | - Anna Pajor
- Balance Disorders Unit, Department of Otolaryngology, Medical University of Lodz, The Norbert BarlickMemorial Teaching Hospital, 90-153 Lodz, Poland
| | - Magdalena Janc
- Audiology and Phoniatrics Clinic, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland
| | - Rafal Kotas
- Department of Microelectronics and Computer Science, Lodz University of Technology, 90-924 Lodz, Poland
| | - Marek Kaminski
- Department of Microelectronics and Computer Science, Lodz University of Technology, 90-924 Lodz, Poland
| | - Ewa Zamyslowska-Szmytke
- Audiology and Phoniatrics Clinic, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland
| | - Magdalena Jozefowicz-Korczynska
- Balance Disorders Unit, Department of Otolaryngology, Medical University of Lodz, The Norbert BarlickMemorial Teaching Hospital, 90-153 Lodz, Poland
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22
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Castiglia SF, Trabassi D, Tatarelli A, Ranavolo A, Varrecchia T, Fiori L, Di Lenola D, Cioffi E, Raju M, Coppola G, Caliandro P, Casali C, Serrao M. Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of Gait. CEREBELLUM (LONDON, ENGLAND) 2023; 22:46-58. [PMID: 35079958 DOI: 10.1007/s12311-021-01361-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/20/2021] [Indexed: 02/01/2023]
Abstract
This study aimed to assess the ability of 25 gait indices to characterize gait instability and recurrent fallers among persons with primary degenerative cerebellar ataxia (pwCA), regardless of gait speed, and investigate their correlation with clinical and kinematic variables. Trunk acceleration patterns were acquired during the gait of 34 pwCA, and 34 age- and speed-matched healthy subjects (HSmatched) using an inertial measurement unit. We calculated harmonic ratios (HR), percent recurrence, percent determinism, step length coefficient of variation, short-time largest Lyapunov exponent (sLLE), normalized jerk score, log-dimensionless jerk (LDLJ-A), root mean square (RMS), and root mean square ratio of accelerations (RMSR) in each spatial direction for each participant. Unpaired t-tests or Mann-Whitney tests were performed to identify significant differences between the pwCA and HSmatched groups. Receiver operating characteristics were plotted to assess the ability to characterize gait alterations in pwCA and fallers. Optimal cutoff points were identified, and post-test probabilities were calculated. The HRs showed to characterize gait instability and pwCA fallers with high probabilities. They were correlated with disease severity and stance, swing, and double support duration, regardless of gait speed. sLLEs, RMSs, RMSRs, and LDLJ-A were slightly able to characterize the gait of pwCA but failed to characterize fallers.
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Affiliation(s)
- Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy.
| | - Dante Trabassi
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Antonella Tatarelli
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, via Fontana Candida, 1, Monte Porzio Catone, 00078, Rome, Italy.,Department of Human Neurosciences, Sapienza University of Rome, viale dell'Università 30, 00185, Rome, Italy
| | - Alberto Ranavolo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, via Fontana Candida, 1, Monte Porzio Catone, 00078, Rome, Italy
| | - Tiwana Varrecchia
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, via Fontana Candida, 1, Monte Porzio Catone, 00078, Rome, Italy
| | - Lorenzo Fiori
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, via Fontana Candida, 1, Monte Porzio Catone, 00078, Rome, Italy.,Department of Physiology and Pharmacology, Sapienza University of Rome, piazzale Aldo Moro, 5, 00185, Rome, Italy
| | - Davide Di Lenola
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Ettore Cioffi
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy.,Department of Human Neurosciences, Sapienza University of Rome, viale dell'Università 30, 00185, Rome, Italy
| | - Manikandan Raju
- Department of Human Neurosciences, Sapienza University of Rome, viale dell'Università 30, 00185, Rome, Italy
| | - Gianluca Coppola
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Pietro Caliandro
- Unità Operativa Complessa Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 8, 00168, Rome, Italy
| | - Carlo Casali
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy
| | - Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, "Sapienza" University of Rome-Polo Pontino, Corso della Repubblica 79, 04100, Latina, Italy.,Movement Analysis Laboratory, Policlinico Italia, Piazza del Campidano, 6, 00162, Rome, Italy
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23
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Zhou Q, Li H, Liao Z, Gao B, He B. Bridging the Gap between Invasive and Noninvasive Medical Care: Emerging Microneedle Approaches. Anal Chem 2023; 95:515-534. [PMID: 36625106 DOI: 10.1021/acs.analchem.2c01895] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Qian Zhou
- School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 211816, China
| | - Huimei Li
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, China
| | - Zhijun Liao
- School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 211816, China
| | - Bingbing Gao
- School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 211816, China
| | - Bingfang He
- School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 211816, China
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24
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Prieto-Avalos G, Sánchez-Morales LN, Alor-Hernández G, Sánchez-Cervantes JL. A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases. BIOSENSORS 2022; 13:72. [PMID: 36671907 PMCID: PMC9856141 DOI: 10.3390/bios13010072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/24/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and social environments. One strategy to mitigate the pain of NDDs is to early identify and remotely monitor related motor impairments using wearable devices. Technological progress has contributed to reducing the hardware complexity of mobile devices while simultaneously improving their efficiency in terms of data collection and processing and energy consumption. However, perhaps the greatest challenges of current mobile devices are to successfully manage the security and privacy of patient medical data and maintain reasonable costs with respect to the traditional patient consultation scheme. In this work, we conclude: (1) Falls are most monitored for Parkinson's disease, while tremors predominate in epilepsy and Alzheimer's disease. These findings will provide guidance for wearable device manufacturers to strengthen areas of opportunity that need to be addressed, and (2) Of the total universe of commercial wearables devices that are available on the market, only a few have FDA approval, which means that there is a large number of devices that do not safeguard the integrity of the users who use them.
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Affiliation(s)
- Guillermo Prieto-Avalos
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - Laura Nely Sánchez-Morales
- CONACYT-Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - Giner Alor-Hernández
- Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
| | - José Luis Sánchez-Cervantes
- CONACYT-Tecnológico Nacional de México/I.T. Orizaba, Av. Oriente 9 No. 852 Col. Emiliano Zapata, Orizaba 94320, Veracruz, Mexico
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25
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Feasibility and Application of the B.E.A.T. Testbed for Assessing the Effects of Lower Limb Exoskeletons on Human Balance. ROBOTICS 2022. [DOI: 10.3390/robotics11060151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Assessing the performance of exoskeletons in assisting human balance is important for their design process. This study proposes a novel testbed, the B.E.A.T (Balance Evaluation Automated Testbed) to address this aim. We applied the B.E.A.T to evaluate how the presence of a lower limb exoskeleton influenced human balance. The B.E.A.T. consists of a robotic platform, standardized protocols, and performance indicators. Fifteen healthy subjects were enrolled and subjected to repeatable step-type ground perturbations in different directions using the multi-axis robotic platform. Each participant performed three trials, both with and without the exoskeleton (EXO and No-EXO conditions). Nine performance indicators, divided into kinematic and body stability indicators, were computed. The reliability of performance indicators was assessed by computing the Inter Class Correlation (ICC). The indicators showed good (0.60 ≤ ICC < 0.75) to excellent (ICC ≥ 0.75) reliability. The comparison between the EXO and No-EXO conditions revealed a significant increase in the joint range of motion and the center of pressure displacement while wearing the exoskeleton. The main differences between the EXO and No-EXO conditions were found in the range of motion of the knee joints, with an increment up to 17° in the sagittal plane.
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26
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Carpinella I, Anastasi D, Gervasoni E, Di Giovanni R, Tacchino A, Brichetto G, Confalonieri P, Rovaris M, Solaro C, Ferrarin M, Cattaneo D. Balance Impairments in People with Early-Stage Multiple Sclerosis: Boosting the Integration of Instrumented Assessment in Clinical Practice. SENSORS (BASEL, SWITZERLAND) 2022; 22:9558. [PMID: 36502265 PMCID: PMC9736931 DOI: 10.3390/s22239558] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/15/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
The balance of people with multiple sclerosis (PwMS) is commonly assessed during neurological examinations through clinical Romberg and tandem gait tests that are often not sensitive enough to unravel subtle deficits in early-stage PwMS. Inertial sensors (IMUs) could overcome this drawback. Nevertheless, IMUs are not yet fully integrated into clinical practice due to issues including the difficulty to understand/interpret the big number of parameters provided and the lack of cut-off values to identify possible abnormalities. In an attempt to overcome these limitations, an instrumented modified Romberg test (ImRomberg: standing on foam with eyes closed while wearing an IMU on the trunk) was administered to 81 early-stage PwMS and 38 healthy subjects (HS). To facilitate clinical interpretation, 21 IMU-based parameters were computed and reduced through principal component analysis into two components, sway complexity and sway intensity, descriptive of independent aspects of balance, presenting a clear clinical meaning and significant correlations with at least one clinical scale. Compared to HS, early-stage PwMS showed a 228% reduction in sway complexity and a 63% increase in sway intensity, indicating, respectively, a less automatic (more conscious) balance control and larger and faster trunk movements during upright posture. Cut-off values were derived to identify the presence of balance abnormalities and if these abnormalities are clinically meaningful. By applying these thresholds and integrating the ImRomberg test with the clinical tandem gait test, balance impairments were identified in 58% of PwMS versus the 17% detected by traditional Romberg and tandem gait tests. The higher sensitivity of the proposed approach would allow for the direct identification of early-stage PwMS who could benefit from preventive rehabilitation interventions aimed at slowing MS-related functional decline during neurological examinations and with minimal modifications to the tests commonly performed.
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Affiliation(s)
| | - Denise Anastasi
- IRCCS Fondazione Don Carlo Gnocchi Onlus, 20148 Milan, Italy
| | - Elisa Gervasoni
- IRCCS Fondazione Don Carlo Gnocchi Onlus, 20148 Milan, Italy
| | - Rachele Di Giovanni
- Department of Rehabilitation, Centro di Recupero e Rieducazione Funzionale (CRRF) “Mons. Luigi Novarese”, 13040 Moncrivello, Italy
| | - Andrea Tacchino
- Italian Multiple Sclerosis Foundation, Scientific Research Area, 16126 Genoa, Italy
| | - Giampaolo Brichetto
- Italian Multiple Sclerosis Foundation, Scientific Research Area, 16126 Genoa, Italy
| | - Paolo Confalonieri
- IRCCS Foundation “Carlo Besta” Neurological Institute, 20133 Milan, Italy
| | - Marco Rovaris
- IRCCS Fondazione Don Carlo Gnocchi Onlus, 20148 Milan, Italy
| | - Claudio Solaro
- Department of Rehabilitation, Centro di Recupero e Rieducazione Funzionale (CRRF) “Mons. Luigi Novarese”, 13040 Moncrivello, Italy
| | | | - Davide Cattaneo
- IRCCS Fondazione Don Carlo Gnocchi Onlus, 20148 Milan, Italy
- Department of Physiopathology and Transplants, University of Milan, 20122 Milan, Italy
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27
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Nakahara H, Nawata R, Matsuo R, Ohgomori T. Deterioration of postural control due to the increase of similarity between center of pressure and smooth-pursuit eye movements during standing on one leg. PLoS One 2022; 17:e0276119. [PMID: 36227896 PMCID: PMC9560487 DOI: 10.1371/journal.pone.0276119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/29/2022] [Indexed: 11/18/2022] Open
Abstract
Upright postural control is regulated by afferent and efferent/reafferent visual mechanisms. There are two types of efferent and conjugate eye movements: saccades and smooth pursuits. Although postural control is improved by saccades, the effects of smooth pursuits on postural control are still debated, because the difficulties of postural and visual tasks differ in the previous research. Additionally, the mechanisms that interfere with postural control and smooth pursuit are not fully understood. To address these issues, we examined the effects of different patterns of smooth-pursuit eye movement on the path length of the center of pressure (COP) displacement under bipedal and unipedal standing conditions. The relative frequency and amplitude of the COP displacement were remarkably increased when uniform linear visual targets were presented during unipedal standing. In addition, dynamic time warping analysis demonstrated that the similarity between the displacement of the COP and eye movements was increased by the presentation of uniform linear visual targets with orientation selectivity during unipedal standing but not during bipedal standing. In contrast, the attenuation of similarity between the displacement of the COP and eye movements significantly decreased the path length, relative frequency, and amplitude of the COP displacement. Our results indicate that postural stability is deteriorated by the increase of similarity between the displacement of the COP and smooth-pursuit eye movements under unstable conditions.
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Affiliation(s)
- Hikaru Nakahara
- Department of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Osaka, Japan
| | - Rukia Nawata
- Department of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Osaka, Japan
| | - Ryota Matsuo
- Department of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Osaka, Japan
| | - Tomohiro Ohgomori
- Department of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Osaka, Japan
- * E-mail:
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28
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Desai N, Maggioni E, Obrist M, Orlu M. Scent-delivery devices as a digital healthcare tool for olfactory training: A pilot focus group study in Parkinson's disease patients. Digit Health 2022; 8:20552076221129061. [PMID: 36204704 PMCID: PMC9530561 DOI: 10.1177/20552076221129061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022] Open
Abstract
Parkinson's disease (PD) patients display a combination of motor and non-motor symptoms. The most common non-motor symptom is scent (olfactory) impairment, occurring at least four years prior to motor symptom onset. Recent and growing interest in digital healthcare technology used in PD has resulted in more technologies developed for motor rather than non-motor symptoms. Human-computer interaction (HCI), which uses computer technology to explore human activity and work, could be combined with digital healthcare technologies to better understand and support olfaction via scent training - leading to the development of a scent-delivery device (SDD). In this pilot study, three PD patients were invited to an online focus group to explore the association between PD and olfaction, understand HCI and sensory technologies and were demonstrated a new multichannel SDD with an associated mobile app. Participants had a preconceived link, a result of personal experience, between olfactory impairment and PD. Participants felt that healthcare professionals did not take olfactory dysfunction concerns seriously prior to PD diagnosis. Two were not comfortable with sharing scent loss experiences with others. Participants expected the multichannel SDD to be small, portable and easy-to-use, with customisable cartridges to deliver chosen scents and the mobile app to create a sense of community. None of the participants regularly performed scent training but would consider doing so if some scent function could be regained. Standardised digital SDDs for regular healthcare check-ups may facilitate improvement in olfactory senses in PD patients and potential earlier PD diagnosis, allowing earlier therapeutic and symptomatic PD management.
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Affiliation(s)
- Neel Desai
- Research Department of Pharmaceutics, UCL School of Pharmacy,
University College London, London, UK
| | - Emanuela Maggioni
- Department of Computer Science, University College London, London, UK
| | - Marianna Obrist
- Department of Computer Science, University College London, London, UK,Marianna Obrist, Department of Computer
Science, University College London, 169 Euston Road, London, UK.
| | - Mine Orlu
- Research Department of Pharmaceutics, UCL School of Pharmacy,
University College London, London, UK,Mine Orlu, Research Department of
Pharmaceutics, UCL School of Pharmacy, University College London, London, UK.
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29
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The Effect of Dual-Task Motor-Cognitive Training in Adults with Neurological Diseases Who Are at Risk of Falling. Brain Sci 2022; 12:brainsci12091207. [PMID: 36138943 PMCID: PMC9497151 DOI: 10.3390/brainsci12091207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/30/2022] [Accepted: 09/04/2022] [Indexed: 11/17/2022] Open
Abstract
Falls are common in patients with neurological diseases and can be very problematic. Recently, there has been an increase in fall prevention research in people with neurological diseases; however, these studies are usually condition-specific (e.g., only MS, PD or stroke). Here, our aim was to evaluate and compare the efficacy of an advanced and innovative dual-task, motor-cognitive rehabilitation program in individuals with different neurological diseases who are at risk of falling. We recruited 95 consecutive adults with neurological diseases who are at risk of falling and divided them into four groups: 31 with cerebrovascular disease (CVD), 20 with Parkinson’s disease (PD), 23 with traumatic brain injury (TBI) and 21 with other neurological diseases (OND). Each patient completed a dual-task, motor-cognitive training program and underwent two test evaluations to assess balance, gait, fear of falling and walking performance at the pre-and post-intervention. We found that our experimental motor-cognitive, dual-task rehabilitation program was an effective method for improving walking balance, gait, walking endurance and speed, and fear of falling, and that it reduced the risk of falls in patients with different neurological diseases. This study presents an alternative approach for people with chronic neurological diseases and provides innovative data for managing this population.
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Ares-Benitez I, Billot M, Rigoard P, Cano-Bravo F, David R, Luque-Moreno C. Feasibility, acceptability and effects of dance therapy in stroke patients: A systematic review. Complement Ther Clin Pract 2022; 49:101662. [DOI: 10.1016/j.ctcp.2022.101662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/06/2022] [Accepted: 08/18/2022] [Indexed: 11/03/2022]
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Chen R, Berardelli A, Bhattacharya A, Bologna M, Chen KHS, Fasano A, Helmich RC, Hutchison WD, Kamble N, Kühn AA, Macerollo A, Neumann WJ, Pal PK, Paparella G, Suppa A, Udupa K. Clinical neurophysiology of Parkinson's disease and parkinsonism. Clin Neurophysiol Pract 2022; 7:201-227. [PMID: 35899019 PMCID: PMC9309229 DOI: 10.1016/j.cnp.2022.06.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 06/11/2022] [Accepted: 06/22/2022] [Indexed: 01/01/2023] Open
Abstract
This review is part of the series on the clinical neurophysiology of movement disorders and focuses on Parkinson’s disease and parkinsonism. The pathophysiology of cardinal parkinsonian motor symptoms and myoclonus are reviewed. The recordings from microelectrode and deep brain stimulation electrodes are reported in detail.
This review is part of the series on the clinical neurophysiology of movement disorders. It focuses on Parkinson’s disease and parkinsonism. The topics covered include the pathophysiology of tremor, rigidity and bradykinesia, balance and gait disturbance and myoclonus in Parkinson’s disease. The use of electroencephalography, electromyography, long latency reflexes, cutaneous silent period, studies of cortical excitability with single and paired transcranial magnetic stimulation, studies of plasticity, intraoperative microelectrode recordings and recording of local field potentials from deep brain stimulation, and electrocorticography are also reviewed. In addition to advancing knowledge of pathophysiology, neurophysiological studies can be useful in refining the diagnosis, localization of surgical targets, and help to develop novel therapies for Parkinson’s disease.
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Affiliation(s)
- Robert Chen
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Amitabh Bhattacharya
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Matteo Bologna
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kai-Hsiang Stanley Chen
- Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan
| | - Alfonso Fasano
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Rick C Helmich
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology and Centre of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - William D Hutchison
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Departments of Surgery and Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Andrea A Kühn
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Antonella Macerollo
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.,The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, United Kingdom
| | - Wolf-Julian Neumann
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kaviraja Udupa
- Department of Neurophysiology National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
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Faheem F, Zafar Z, Razzak A, Kalia JS. Implementing Virtual Care in Neurology - Challenges and Pitfalls. J Cent Nerv Syst Dis 2022; 14:11795735221109745. [PMID: 35795886 PMCID: PMC9252001 DOI: 10.1177/11795735221109745] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Virtual care is here to stay. The explosive expansion of telehealth caused by the SARS-CoV-2 pandemic is more than a necessary measure of protection. The key drivers of this transition in healthcare delivery to a virtual setting are changes in patient behavior and expectations and societal attitudes, and prevailing technologies that are impossible to ignore. The younger population - Generation Z - is increasingly connected and mobile-first. We are heading to a world where we expect to see healthcare in general and neurology, in particular, delivered virtually. The medical community should prepare for this overhaul; proper implementation of virtual care from the ground up is the need of the hour. In an era of virtualization, it is up to the medical community to ensure a well-informed patient population, overcome cultural differences and build digital infrastructure with enhanced access and equity in care delivery, especially for the aging neurological patient population, which is not technologically savvy. Virtual care is a continuum of care that needs deeper integration at systematic levels. The design principles of a patient's journey need to be incorporated while simultaneously placing physician satisfaction with a better user experience at the center of implementation. In this paper, we discuss common challenges and pitfalls of virtual care implementation in neurology - logistical, technical, medicolegal, and those faced in incorporating health and medical education into virtual care - intending to provide solutions and strategies.
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Affiliation(s)
| | | | - Aisha Razzak
- University of Texas at Dallas, Richardson, TX, USA
| | - Junaid Siddiq Kalia
- Founder, NeuroCare.AI.,Editor-in-Chief, neurologypocketbook.com.,Founder, Institute of Health Innovation and Education
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Butkuviene M, Tamuleviciute-Prasciene E, Beigiene A, Barasaite V, Sokas D, Kubilius R, Petrenas A. Wearable-Based Assessment of Frailty Trajectories During Cardiac Rehabilitation After Open-Heart Surgery. IEEE J Biomed Health Inform 2022; 26:4426-4435. [PMID: 35700246 DOI: 10.1109/jbhi.2022.3181738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Frailty in patients after open-heart surgery influences the type and intensity of a cardiac rehabilitation program. The response to tailored exercise training can be different, requiring convenient tools to assess the effectiveness of a training program routinely. The study aims to investigate whether kinematic measures extracted from the acceleration signals can provide information about frailty trajectories during rehabilitation. One hundred patients after open-heart surgery, assigned to the equal-sized intervention and control groups, participated in exercise training during inpatient rehabilitation. After rehabilitation, the intervention group continued exercise training at home, whereas the control group was asked to maintain the usual physical activity regimen. Stride time, cadence, movement vigor, gait asymmetry, Lissajous index, and postural sway were estimated during the clinical walk and stair-climbing tests before and after inpatient rehabilitation as well as after home-based exercise training. Frailty was assessed using the Edmonton frail scale. Most kinematic measures estimated during walking improved after rehabilitation along with the improvement in frailty status, i.e., stride time, cadence, postural sway, and movement vigor improved in 71%, 77%, 81%, and 83% of patients, respectively. Meanwhile, kinematic measures during stair-climbing improved to a lesser extent compared to walking. Home-based exercise training did not result in a notable change in kinematic measures which agrees well with only a negligible deterioration in frailty status. The study demonstrates the feasibility to follow frailty trajectories during inpatient rehabilitation after open-heart surgery based on kinematic measures extracted using a single wearable sensor.
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Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications. SENSORS 2022; 22:s22072566. [PMID: 35408181 PMCID: PMC9002930 DOI: 10.3390/s22072566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/14/2022] [Accepted: 03/22/2022] [Indexed: 02/01/2023]
Abstract
In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-living conditions, with data recording on an SD or wireless transmission to an external elaborator. Thanks to the wide horizon of applications, research is very active in this field, and in the last few years, some devices have been introduced on the market. The main problem with those devices is that their operation is time-limited, so they do not match the growing demand for long monitoring, which is a must-have feature in diagnosing specific diseases. Furthermore, their versatility is hampered by the fact that they have been designed to record just one type of signal. Using ST-Qvar sensors, we acquired an electrocardiogram trace and single-channel scalp electroencephalogram from the frontal lobes, together with an electrooculogram. Excellent results from all three types of acquisition tests were obtained. The power consumption is very low, demonstrating that, thanks to the MEMS technology, a continuous acquisition is feasible for several days.
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Applications and Outcomes of Internet of Things for Patients with Alzheimer’s Disease/Dementia: A Scoping Review. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6274185. [PMID: 35342749 PMCID: PMC8948545 DOI: 10.1155/2022/6274185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/01/2022] [Accepted: 02/22/2022] [Indexed: 11/24/2022]
Abstract
Objectives We aimed to identify and classify the Internet of Things (IoT) technologies used for Alzheimer's disease (AD)/dementia as well as the healthcare aspects addressed by these technologies and the outcomes of the IoT interventions. Methodology. We searched PubMed/MEDLINE, IEEE Explore, Web of Science, OVID, Scopus, Embase, Cochrane, and Google Scholar. In total, 13,005 papers were reviewed, 36 of which were finally selected. All the reviews were independently carried out by two researchers. In the case of any disagreement, the problem was resolved by holding a meeting and exchanging views. Due to the diversity of the reviewed studies, narrative analysis was performed. Results Among the technologies used for the patients including radio frequency identification (RFID), near field communication (NFC), ZigBee, Bluetooth, global positioning system (GPS), sensors, and cameras, the sensors were employed in 36 studies, most of which were switch and vital sign monitoring sensors. The most common aspects of AD/dementia care monitored using these technologies were activities of daily living (ADLs) in 27 studies, followed by sleep patterns and disease diagnosis in 19 and 14 studies, respectively. Sleeping, medication, vital signs, agitation, memory, social interaction, apathy, movement, tracking, and fall were other aspects monitored by IoT. Then, their outcomes were reported. Conclusion Using IoT for AD/dementia provides many opportunities for considering various aspects of this disease. Moreover, the ability to use various technologies for gathering patient-related data provides a comprehensive application for almost all aspects of the patients' care with high accuracy.
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Abstract
Internet-connected devices, including personal computers, smartphones, smartwatches, and voice assistants, have evolved into powerful multisensor technologies that billions of people interact with daily to connect with friends and colleagues, access and share information, purchase goods, play games, and navigate their environment. Digital phenotyping taps into the data streams captured by these devices to characterize and understand health and disease. The purpose of this article is to summarize opportunities for digital phenotyping in neurology, review studies using everyday technologies to obtain motor and cognitive information, and provide a perspective on how neurologists can embrace and accelerate progress in this emerging field.
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Affiliation(s)
- Anoopum S. Gupta
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Asci F, Vivacqua G, Zampogna A, D’Onofrio V, Mazzeo A, Suppa A. Wearable Electrochemical Sensors in Parkinson's Disease. SENSORS 2022; 22:s22030951. [PMID: 35161694 PMCID: PMC8839454 DOI: 10.3390/s22030951] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 12/15/2022]
Abstract
Parkinson’s disease (PD) is a neurodegenerative disorder associated with widespread aggregation of α-synuclein and dopaminergic neuronal loss in the substantia nigra pars compacta. As a result, striatal dopaminergic denervation leads to functional changes in the cortico-basal-ganglia-thalamo-cortical loop, which in turn cause most of the parkinsonian signs and symptoms. Despite tremendous advances in the field in the last two decades, the overall management (i.e., diagnosis and follow-up) of patients with PD remains largely based on clinical procedures. Accordingly, a relevant advance in the field would require the development of innovative biomarkers for PD. Recently, the development of miniaturized electrochemical sensors has opened new opportunities in the clinical management of PD thanks to wearable devices able to detect specific biological molecules from various body fluids. We here first summarize the main wearable electrochemical technologies currently available and their possible use as medical devices. Then, we critically discuss the possible strengths and weaknesses of wearable electrochemical devices in the management of chronic diseases including PD. Finally, we speculate about possible future applications of wearable electrochemical sensors in PD, such as the attractive opportunity for personalized closed-loop therapeutic approaches.
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Affiliation(s)
| | - Giorgio Vivacqua
- Integrated Research Center (PRAAB), Campus Biomedico University of Roma, Via Alvaro del Portillo 21, 00125 Rome, RM, Italy;
| | - Alessandro Zampogna
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, RM, Italy; (A.Z.); (V.D.); (A.M.)
| | - Valentina D’Onofrio
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, RM, Italy; (A.Z.); (V.D.); (A.M.)
| | - Adolfo Mazzeo
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, RM, Italy; (A.Z.); (V.D.); (A.M.)
| | - Antonio Suppa
- IRCCS Neuromed, 86077 Pozzilli, IS, Italy;
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, RM, Italy; (A.Z.); (V.D.); (A.M.)
- Correspondence: ; Tel.: +39-06-49914544
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Predicting Axial Impairment in Parkinson's Disease through a Single Inertial Sensor. SENSORS 2022; 22:s22020412. [PMID: 35062375 PMCID: PMC8778464 DOI: 10.3390/s22020412] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/23/2021] [Accepted: 01/05/2022] [Indexed: 02/06/2023]
Abstract
Background: Current telemedicine approaches lack standardised procedures for the remote assessment of axial impairment in Parkinson’s disease (PD). Unobtrusive wearable sensors may be a feasible tool to provide clinicians with practical medical indices reflecting axial dysfunction in PD. This study aims to predict the postural instability/gait difficulty (PIGD) score in PD patients by monitoring gait through a single inertial measurement unit (IMU) and machine-learning algorithms. Methods: Thirty-one PD patients underwent a 7-m timed-up-and-go test while monitored through an IMU placed on the thigh, both under (ON) and not under (OFF) dopaminergic therapy. After pre-processing procedures and feature selection, a support vector regression model was implemented to predict PIGD scores and to investigate the impact of L-Dopa and freezing of gait (FOG) on regression models. Results: Specific time- and frequency-domain features correlated with PIGD scores. After optimizing the dimensionality reduction methods and the model parameters, regression algorithms demonstrated different performance in the PIGD prediction in patients OFF and ON therapy (r = 0.79 and 0.75 and RMSE = 0.19 and 0.20, respectively). Similarly, regression models showed different performances in the PIGD prediction, in patients with FOG, ON and OFF therapy (r = 0.71 and RMSE = 0.27; r = 0.83 and RMSE = 0.22, respectively) and in those without FOG, ON and OFF therapy (r = 0.85 and RMSE = 0.19; r = 0.79 and RMSE = 0.21, respectively). Conclusions: Optimized support vector regression models have high feasibility in predicting PIGD scores in PD. L-Dopa and FOG affect regression model performances. Overall, a single inertial sensor may help to remotely assess axial motor impairment in PD patients.
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Krawczyk-Suszek M, Martowska B, Sapuła R. Analysis of the Stability of the Body in a Standing Position When Shooting at a Stationary Target-A Randomized Controlled Trial. SENSORS (BASEL, SWITZERLAND) 2022; 22:368. [PMID: 35009908 PMCID: PMC8749732 DOI: 10.3390/s22010368] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/12/2021] [Accepted: 12/29/2021] [Indexed: 06/14/2023]
Abstract
Postural stability of the body depends on many factors. One of them is physical activity. It is especially important in the case of sports or professional work, which combine mobility with the accuracy of a shot in a standing position. The smaller the body fatigue, the more accurate the shot. The aim of the study was the assessment of the impact of physical effort on the center of gravity deflection and length of the COP (center of pressure) path, as well as the reaction of ground forces in people who do not engage in systematic physical activity. The study group included 139 people (23.1 ± 5.2 yr; M: 46.8%; F: 53.2%). The test consisted of performing a static test twice, shooting at the target in a multimedia shooting range. Group X performed the Harvard test between the static tests. Group Y made no effort. The reaction parameters of the ground forces were assessed using the Zebris PDM-L Platform. In Group X performing the Harvard test, an increase in the average COP, VCOP, and 95% confidence ellipse area was noted. The path length and the average velocity of COP speed increased. There were no differences in Group Y (p > 0.05). Physical effort significantly affected the postural stability of the studied people, increasing the average parameters assessing balance when adopting static firing position.
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Affiliation(s)
- Marlena Krawczyk-Suszek
- Department of Physiotherapy, Medical College, University of Information Technology and Management in Rzeszow, 2 Sucharskiego Str., 35-225 Rzeszów, Poland;
| | - Blanka Martowska
- Department of Physiotherapy, Medical College, University of Information Technology and Management in Rzeszow, 2 Sucharskiego Str., 35-225 Rzeszów, Poland;
| | - Rafał Sapuła
- Zamosc Clinic of Rehabilitation, 22-400 Zamosc, Poland;
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Ruiz-Ruiz L, Jimenez AR, Garcia-Villamil G, Seco F. Detecting Fall Risk and Frailty in Elders with Inertial Motion Sensors: A Survey of Significant Gait Parameters. SENSORS 2021; 21:s21206918. [PMID: 34696131 PMCID: PMC8538337 DOI: 10.3390/s21206918] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/08/2021] [Accepted: 10/14/2021] [Indexed: 12/15/2022]
Abstract
In the elderly, geriatric problems such as the risk of fall or frailty are a challenge for society. Patients with frailty present difficulties in walking and higher fall risk. The use of sensors for gait analysis allows the detection of objective parameters related to these pathologies and to make an early diagnosis. Inertial Measurement Units (IMUs) are wearables that, due to their accuracy, portability, and low price, are an excellent option to analyze human gait parameters in health-monitoring applications. Many relevant gait parameters (e.g., step time, walking speed) are used to assess motor, or even cognitive, health problems in the elderly, but we perceived that there is not a full consensus on which parameters are the most significant to estimate the risk of fall and the frailty state. In this work, we analyzed the different IMU-based gait parameters proposed in the literature to assess frailty state (robust, prefrail, or frail) or fall risk. The aim was to collect the most significant gait parameters, measured from inertial sensors, able to discriminate between patient groups and to highlight those parameters that are not relevant or for which there is controversy among the examined works. For this purpose, a literature review of the studies published in recent years was carried out; apart from 10 previous relevant reviews using inertial and other sensing technologies, a total of 22 specific studies giving statistical significance values were analyzed. The results showed that the most significant parameters are double-support time, gait speed, stride time, step time, and the number of steps/day or walking percentage/day, for frailty diagnosis. In the case of fall risk detection, parameters related to trunk stability or movements are the most relevant. Although these results are important, the total number of works found was limited and most of them performed the significance statistics on subsets of all possible gait parameters; this fact highlights the need for new frailty studies using a more complete set of gait parameters.
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Zampogna A, Mileti I, Martelli F, Paoloni M, Del Prete Z, Palermo E, Suppa A. Early balance impairment in Parkinson's Disease: Evidence from Robot-assisted axial rotations. Clin Neurophysiol 2021; 132:2422-2430. [PMID: 34454269 DOI: 10.1016/j.clinph.2021.06.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/27/2021] [Accepted: 06/06/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Early postural instability (PI) is a red flag for the diagnosis of Parkinson's disease (PD). Several patients, however, fall within the first three years of disease, particularly when turning. We investigated whether PD patients, without clinically overt PI, manifest abnormal reactive postural responses to ecological perturbations resembling turning. METHODS Fifteen healthy subjects and 20 patients without clinically overt PI, under and not under L-Dopa, underwent dynamic posturography during axial rotations around the longitudinal axis, provided by a robotic mechatronic platform. We measured reactive postural responses, including body displacement and reciprocal movements of the head, trunk, and pelvis, by using a network of three wearable inertial sensors. RESULTS Patients showed higher body displacement of the head, trunk and pelvis, and lower joint movements at the lumbo-sacral junction than controls. Conversely, movements at the cranio-cervical junction were normal in PD. L-Dopa left reactive postural responses unchanged. CONCLUSIONS Patients with PD without clinically overt PI manifest abnormal reactive postural responses to axial rotations, unresponsive to L-Dopa. The biomechanical model resulting from our experimental approach supports novel pathophysiological hypotheses of abnormal axial rotations in PD. SIGNIFICANCE PD patients without clinically overt PI present subclinical balance impairment during axial rotations, unresponsive to L-Dopa.
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Affiliation(s)
- Alessandro Zampogna
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
| | - Ilaria Mileti
- Mechanical Measurements and Microelectronics (M3Lab) Lab, Engineering Department, University Niccolò Cusano, 00166 Rome, Italy
| | - Francesca Martelli
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
| | - Marco Paoloni
- Department of Physical Medicine and Rehabilitation, Sapienza University of Rome, 00161 Rome, Italy
| | - Zaccaria Del Prete
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
| | - Eduardo Palermo
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
| | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; IRCCS Neuromed, 86077 Pozzilli, IS, Italy.
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Khan NC, Pandey V, Gajos KZ, Gupta AS. Free-Living Motor Activity Monitoring in Ataxia-Telangiectasia. THE CEREBELLUM 2021; 21:368-379. [PMID: 34302287 PMCID: PMC8302464 DOI: 10.1007/s12311-021-01306-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/08/2021] [Indexed: 11/12/2022]
Abstract
With disease-modifying approaches under evaluation in ataxia-telangiectasia and other ataxias, there is a need for objective and reliable biomarkers of free-living motor function. In this study, we test the hypothesis that metrics derived from a single wrist sensor worn at home provide accurate, reliable, and interpretable information about neurological disease severity in children with A-T. A total of 15 children with A-T and 15 age- and sex-matched controls wore a sensor with a triaxial accelerometer on their dominant wrist for 1 week at home. Activity intensity measures, derived from the sensor data, were compared with in-person neurological evaluation on the Brief Ataxia Rating Scale (BARS) and performance on a validated computer mouse task. Children with A-T were inactive the same proportion of each day as controls but produced more low intensity movements (p < 0.01; Cohen’s d = 1.48) and fewer high intensity movements (p < 0.001; Cohen’s d = 1.71). The range of activity intensities was markedly reduced in A-T compared to controls (p < 0.0001; Cohen’s d = 2.72). The activity metrics correlated strongly with arm, gait, and total clinical severity (r: 0.71–0.87; p < 0.0001), correlated with specific computer task motor features (r: 0.67–0.92; p < 0.01), demonstrated high reliability (r: 0.86–0.93; p < 0.00001), and were not significantly influenced by age in the healthy control group. Motor activity metrics from a single, inexpensive wrist sensor during free-living behavior provide accurate and reliable information about diagnosis, neurological disease severity, and motor performance. These low-burden measurements are applicable independent of ambulatory status and are potential digital behavioral biomarkers in A-T.
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Affiliation(s)
- Nergis C Khan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,School of Medicine, Stanford University, Stanford, CA, USA
| | - Vineet Pandey
- Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
| | - Krzysztof Z Gajos
- Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
| | - Anoopum S Gupta
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Vavasour G, Giggins OM, Doyle J, Kelly D. How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review. J Neuroeng Rehabil 2021; 18:112. [PMID: 34238323 PMCID: PMC8268245 DOI: 10.1186/s12984-021-00909-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 06/28/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Globally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent over 21% of the world's population. Frailty is a clinical condition associated with ageing resulting in an increase in adverse outcomes. It is considered the greatest challenge facing an ageing population affecting an estimated 16% of community-dwelling populations worldwide. AIM The aim of this systematic review is to explore how wearable sensors have been used to assess frailty in older adults. METHOD Electronic databases Medline, Science Direct, Scopus, and CINAHL were systematically searched March 2020 and November 2020. A search constraint of articles published in English, between January 2010 and November 2020 was applied. Papers included were primary observational studies involving; older adults aged > 60 years, used a wearable sensor to provide quantitative measurements of physical activity (PA) or mobility and a measure of frailty. Studies were excluded if they used non-wearable sensors for outcome measurement or outlined an algorithm or application development exclusively. The methodological quality of the selected studies was assessed using the Appraisal Tool for Cross-sectional Studies (AXIS). RESULTS Twenty-nine studies examining the use of wearable sensors to assess and discriminate between stages of frailty in older adults were included. Thirteen different body-worn sensors were used in eight different body-locations. Participants were community-dwelling older adults. Studies were performed in home, laboratory or hospital settings. Postural transitions, number of steps, percentage of time in PA and intensity of PA together were the most frequently measured parameters followed closely by gait speed. All but one study demonstrated an association between PA and level of frailty. All reports of gait speed indicate correlation with frailty. CONCLUSIONS Wearable sensors have been successfully used to evaluate frailty in older adults. Further research is needed to identify a feasible, user-friendly device and body-location that can be used to identify signs of pre-frailty in community-dwelling older adults. This would facilitate early identification and targeted intervention to reduce the burden of frailty in an ageing population.
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Affiliation(s)
- Grainne Vavasour
- NetwellCASALA, Dundalk Institute of Technology. Co, Louth, A91 K584, Ireland.
| | - Oonagh M Giggins
- NetwellCASALA, Dundalk Institute of Technology. Co, Louth, A91 K584, Ireland
| | - Julie Doyle
- NetwellCASALA, Dundalk Institute of Technology. Co, Louth, A91 K584, Ireland
| | - Daniel Kelly
- Ulster University Faculty of Computing Engineering and The Built Environment, Derry(Londonderry), BT48 7JL, Northern Ireland
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Akbas K, Mummolo C. A Computational Framework Towards the Tele-Rehabilitation of Balance Control Skills. Front Robot AI 2021; 8:648485. [PMID: 34179106 PMCID: PMC8220374 DOI: 10.3389/frobt.2021.648485] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 05/14/2021] [Indexed: 12/26/2022] Open
Abstract
Mobility has been one of the most impacted aspects of human life due to the spread of the COVID-19 pandemic. Home confinement, the lack of access to physical rehabilitation, and prolonged immobilization of COVID-19-positive patients within hospitals are three major factors that affected the mobility of the general population world-wide. Balance is one key indicator to monitor the possible movement disorders that may arise both during the COVID-19 pandemic and in the coming future post-COVID-19. A systematic quantification of the balance performance in the general population is essential for preventing the appearance and progression of certain diseases (e.g., cardiovascular, neurodegenerative, and musculoskeletal), as well as for assessing the therapeutic outcomes of prescribed physical exercises for elderly and pathological patients. Current research on clinical exercises and associated outcome measures of balance is still far from reaching a consensus on a "golden standard" practice. Moreover, patients are often reluctant or unable to follow prescribed exercises, because of overcrowded facilities, lack of reliable and safe transportation, or stay-at-home orders due to the current pandemic. A novel balance assessment methodology, in combination with a home-care technology, can overcome these limitations. This paper presents a computational framework for the in-home quantitative assessment of balance control skills. Novel outcome measures of balance performance are implemented in the design of rehabilitation exercises with customized and quantifiable training goals. Using this framework in conjunction with a portable technology, physicians can treat and diagnose patients remotely, with reduced time and costs and a highly customized approach. The methodology proposed in this research can support the development of innovative technologies for smart and connected home-care solutions for physical therapy rehabilitation.
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Affiliation(s)
| | - Carlotta Mummolo
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
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Sugama A, Seo A. Analysis of Postural Instability in the Upright Position on Narrow Platforms and the Interactions with Postural Constraints. SENSORS 2021; 21:s21113909. [PMID: 34198867 PMCID: PMC8200973 DOI: 10.3390/s21113909] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/02/2021] [Accepted: 06/02/2021] [Indexed: 11/21/2022]
Abstract
Background: Loss of balance is a considerable risk factor for workers while using ladders, because they are required to maintain static postural balance on platforms of a restricted size. This study observed center of mass (CoM) and center of pressure (CoP) behaviors and evaluated the effects of the platform depth (anterior–posterior length) and working postures. Methods: Eleven male participants stood on four platforms with depths ranging from 6 to 15 cm and maintained their positions for 60 s while performing or not performing other tasks (object holding, upward viewing, or both simultaneously). The kinematics were analyzed on the sagittal plane based on the inverse pendulum model. Results: The absolute moving range for the CoP–CoM linearly increased with the decreasing platform depth, and the working postures affected the slopes of the linear fits. The relative range of CoP–CoM displacement on narrow platforms was highly correlated with the subjective sense of instability. Conclusions: Monitoring the CoP is effective for a better understanding and evaluation of static postural balance. This study’s findings contribute to improving the design of work equipment through the use of wider platforms that are robust against the effects of working postures.
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Affiliation(s)
- Atsushi Sugama
- Risk Management Research Group, National Institute of Occupational Safety and Health, Tokyo 204-0024, Japan
- Correspondence: ; Tel.: +81-42-491-4512
| | - Akihiko Seo
- Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan;
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Marano M, Motolese F, Rossi M, Magliozzi A, Yekutieli Z, Di Lazzaro V. Remote smartphone gait monitoring and fall prediction in Parkinson's disease during the COVID-19 lockdown. Neurol Sci 2021; 42:3089-3092. [PMID: 34046795 PMCID: PMC8159018 DOI: 10.1007/s10072-021-05351-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 05/22/2021] [Indexed: 01/19/2023]
Abstract
Background Falls could be serious events in Parkinson’s disease (PD). Patient remote monitoring strategies are on the raise and may be an additional aid in identifying patients who are at risk of falling. The aim of the study was to evaluate if balance and timed-up-and-go data obtained by a smartphone application during COVID-19 lockdown were able to predict falls in PD patients. Methods A cohort of PD patients were monitored for 4 weeks during the COVID-19 lockdown with an application measuring static balance and timed-up-and-go test. The main outcome was the occurrence of falls (UPDRS-II item 13) during the observation period. Results Thirty-three patients completed the study, and 4 (12%) reported falls in the observation period. The rate of falls was reduced with respect to patient previous falls history (24%). The stand-up time and the mediolateral sway, acquired through the application, differed between “fallers” and “non-fallers” and related to the occurrence of new falls (OR 1.7 and 1.6 respectively, p < 0.05), together with previous falling (OR 7.5, p < 0.01). In a multivariate model, the stand-up time and the history of falling independently related to the outcome (p < 0.01). Conclusions Our study provides new data on falls in Parkinson’s disease during the lockdown. The reduction of falling events and the relationship with the stand-up time might suggest that a different quality of falls occurs when patient is forced to stay home — hence, clinicians should point their attention also on monitoring patients’ sit-to-stand body transition other than more acknowledged features based on step quality.
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Affiliation(s)
- Massimo Marano
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico Di Roma, Viale Alvaro del Portillo, 21, 00128, Rome, Italy.
| | - Francesco Motolese
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico Di Roma, Viale Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Mariagrazia Rossi
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico Di Roma, Viale Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Alessandro Magliozzi
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico Di Roma, Viale Alvaro del Portillo, 21, 00128, Rome, Italy
| | | | - Vincenzo Di Lazzaro
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico Di Roma, Viale Alvaro del Portillo, 21, 00128, Rome, Italy
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Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson's Disease. SENSORS 2021; 21:s21103449. [PMID: 34063468 PMCID: PMC8156709 DOI: 10.3390/s21103449] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/08/2021] [Accepted: 05/13/2021] [Indexed: 12/24/2022]
Abstract
The aims of this study were to assess the ability of 16 gait indices to identify gait instability and recurrent fallers in persons with Parkinson’s disease (pwPD), regardless of age and gait speed, and to investigate their correlation with clinical and kinematic variables. The trunk acceleration patterns were acquired during the gait of 55 pwPD and 55 age-and-speed matched healthy subjects using an inertial measurement unit. We calculated the harmonic ratios (HR), percent recurrence, and percent determinism (RQAdet), coefficient of variation, normalized jerk score, and the largest Lyapunov exponent for each participant. A value of ≤1.50 for the HR in the antero-posterior direction discriminated between pwPD at Hoehn and Yahr (HY) stage 3 and healthy subjects with a 67% probability, between pwPD at HY 3 and pwPD at lower HY stages with a 73% probability, and it characterized recurrent fallers with a 77% probability. Additionally, HR in the antero-posterior direction was correlated with pelvic obliquity and rotation. RQAdet in the antero-posterior direction discriminated between pwPD and healthy subjects with 67% probability, regardless of the HY stage, and was correlated with stride duration and cadence. Therefore, HR and RQAdet in the antero-posterior direction can both be used as age- and-speed-independent markers of gait instability.
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Swanson CW, Richmond SB, Sharp BE, Fling BW. Middle-age people with multiple sclerosis demonstrate similar mobility characteristics to neurotypical older adults. Mult Scler Relat Disord 2021; 51:102924. [PMID: 33813095 DOI: 10.1016/j.msard.2021.102924] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/21/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Clinical trials often report significant mobility differences between neurotypical and atypical groups, however, these analyses often do not determine which measures are capable of discriminating between groups. Additionally, indirect evidence supports the notion that some mobility impaired populations demonstrate similar mobility deficits. Thus, the current study aimed to provide a comprehensive analysis of three distinct aspects of mobility (walking, turning, and balance) to determine which variables were significantly different and were also able to discriminate between neurotypical older adults (OA) and middle-aged people with multiple sclerosis (PwMS), and between middle-aged neurotypical adults and PwMS. METHODS This study recruited 21 neurotypical OA, 19 middle-aged neurotypical adults, and 30 people with relapsing remitting MS. Participants came into the laboratory on two separate occasions to complete mobility testing while wearing wireless inertial sensors. Testing included a self-selected pace two-minute walk, a series of 180˚ and 360˚ turns, and a clinical balance test capturing a total of 99 distinct mobility characteristics. We determined significant differences for gait and turning measures through univariate analyses and a series of repeated measures analysis of variance in determining significance for balance conditions and measures. In determining discrimination between groups, the Area Under the Curve (AUC) was calculated for all individual mobility measures with a threshold of 0.80, denoting excellent discrimination. Additionally, a stepwise regression of the top five AUC producing variables was performed to determine whether a combination of variables could enhance discrimination while accounting for multicollinearity. RESULTS The results between neurotypical OA and middle-aged PwMS demonstrated significant differences for three gait and one turning variable, with no variable or combination of variables able to provide excellent discrimination between groups. Between middle-age neurotypical adults and PwMS a variety of mean and variability gait measures demonstrated significant differences between groups; however, no variable or combination of variables met discriminatory threshold. For turning, five 360˚ turn variables demonstrated significant differences and furthermore, the combination of 360˚ mean turn duration and variability of peak turn velocity were able to discriminate between groups. Finally, the majority of postural sway measures demonstrated significant group differences and the ability to discriminate between groups, particularly during more challenging balance conditions where participants stood on a compliant surface. CONCLUSION These results offer a comprehensive analysis of mobility differences and measures capable of discriminating between middle-age neurotypical adults and PwMS. Additionally, these results provide evidence that OA and middle-age PwMS display similar movement characteristics and thus a potential indicator of advanced aging from a mobility perspective.
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Affiliation(s)
- Clayton W Swanson
- Department of Health & Exercise Science, Colorado State University, Fort Collins, Colorado, USA
| | - Sutton B Richmond
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA
| | - Benjamin E Sharp
- Department of Statistics, Colorado State University, Fort Collins, Colorado, USA
| | - Brett W Fling
- Department of Health & Exercise Science, Colorado State University, Fort Collins, Colorado, USA; Molecular, Cellular, and Integrative Neuroscience Program, Colorado State University, Fort Collins, Colorado, USA
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Thun-Hohenstein C, Klucken J. Wearables als unterstützendes Tool für den Paradigmenwechsel in der Versorgung von Parkinson Patienten. KLIN NEUROPHYSIOL 2021. [DOI: 10.1055/a-1353-9413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
ZusammenfassungTragbare Sensoren – „Wearables“ – eignen sich, Funktionsstörungen bei Parkinson Patienten zu erheben und werden zur Prävention, Prädiktion, Diagnostik und Therapieunterstützung genutzt. In der Forschung erhöhen sie die Reliabilität der erhobenen Daten und stellen bessere Studien-Endpunkte dar, als die herkömmlichen, subjektiven und wenig quantitativen Rating- und Selbstbeurteilungsskalen. Untersucht werden motorische Symptome wie Tremor, Bradykinese und Gangstörungen und auch nicht motorische Symptome. In der Home-Monitoringanwendung kann der Ist-Zustand des Patienten im realen Leben untersucht werden, die Therapie überwacht, die Adhärenz verbessert und die Compliance überprüft werden. Zusätzlich können Wearables interventionell zur Verbesserung von Symptomen eingesetzt werden wie z. B. Cueing, Gamification oder Coaching. Der Transfer von Laborbedingungen in den häuslichen Alltag ist eine medizinisch-technische Herausforderung. Optimierte Versorgungsmodelle müssen entwickelt werden und der tatsächliche Nutzen für den individuellen Patienten in weiteren Studien belegt werden.
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Affiliation(s)
| | - Jochen Klucken
- Molekulare Neurologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg
- Fraunhofer IIS, Erlangen
- Medical Valley Digital Health Application Center GmbH, Bamberg
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50
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Egan S, Brama PAJ, Goulding C, McKeown D, Kearney CM, McGrath D. The Feasibility of Equine Field-Based Postural Sway Analysis Using a Single Inertial Sensor. SENSORS (BASEL, SWITZERLAND) 2021; 21:1286. [PMID: 33670238 PMCID: PMC7916957 DOI: 10.3390/s21041286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/29/2021] [Accepted: 02/04/2021] [Indexed: 12/19/2022]
Abstract
(1) Background: Postural sway is frequently used to quantify human postural control, balance, injury, and neurological deficits. However, there is considerably less research investigating the value of the metric in horses. Much of the existing equine postural sway research uses force or pressure plates to examine the centre of pressure, inferring change at the centre of mass (COM). This study looks at the inverse, using an inertial measurement unit (IMU) on the withers to investigate change at the COM, exploring the potential of postural sway evaluation in the applied domain. (2) Methods: The lipopolysaccharide model was used to induce transient bilateral lameness in seven equines. Horses were monitored intermittently by a withers fixed IMU over seven days. (3) Results: There was a significant effect of time on total protein, carpal circumference, and white blood cell count in the horses, indicating the presence of, and recovery from, inflammation. There was a greater amplitude of displacement in the craniocaudal (CC) versus the mediolateral (ML) direction. A significant difference was observed in the amplitude of displacement in the ML direction between 4-12 h and 168 h. (4) Conclusions: The significant reduction in ML displacement during the acute inflammation period alongside greater overall CC displacement may be a compensatory behaviour for bilateral lameness.
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Affiliation(s)
- Sonja Egan
- Institute for Sport and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin D04 V1W8, Ireland;
| | - Pieter A. J. Brama
- Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin D04 V1W8, Ireland; (P.A.J.B.); (C.M.K.)
| | - Cathy Goulding
- The Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin D04 V1W8, Ireland;
| | - David McKeown
- School of Mechanical and Materials Engineering, University College Dublin, Dublin D04 V1W8, Ireland;
| | - Clodagh M. Kearney
- Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin D04 V1W8, Ireland; (P.A.J.B.); (C.M.K.)
| | - Denise McGrath
- Institute for Sport and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin D04 V1W8, Ireland;
- The Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin D04 V1W8, Ireland;
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