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Ilg W, Milne S, Schmitz-Hübsch T, Alcock L, Beichert L, Bertini E, Mohamed Ibrahim N, Dawes H, Gomez CM, Hanagasi H, Kinnunen KM, Minnerop M, Németh AH, Newman J, Ng YS, Rentz C, Samanci B, Shah VV, Summa S, Vasco G, McNames J, Horak FB. Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers. CEREBELLUM (LONDON, ENGLAND) 2024; 23:1566-1592. [PMID: 37955812 PMCID: PMC11269489 DOI: 10.1007/s12311-023-01625-2] [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] [Accepted: 10/20/2023] [Indexed: 11/14/2023]
Abstract
With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid, finely granulated, digital health measures are highly warranted to augment clinical and patient-reported outcome measures. Gait and balance disturbances most often present as the first signs of degenerative cerebellar ataxia and are the most reported disabling features in disease progression. Thus, digital gait and balance measures constitute promising and relevant performance outcomes for clinical trials.This narrative review with embedded consensus will describe evidence for the sensitivity of digital gait and balance measures for evaluating ataxia severity and progression, propose a consensus protocol for establishing gait and balance metrics in natural history studies and clinical trials, and discuss relevant issues for their use as performance outcomes.
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Affiliation(s)
- Winfried Ilg
- Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Otfried-Müller-Straße 25, 72076, Tübingen, Germany.
- Centre for Integrative Neuroscience (CIN), Tübingen, Germany.
| | - Sarah Milne
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, Melbourne University, Melbourne, VIC, Australia
- Physiotherapy Department, Monash Health, Clayton, VIC, Australia
- School of Primary and Allied Health Care, Monash University, Frankston, VIC, Australia
| | - Tanja Schmitz-Hübsch
- Experimental and Clinical Research Center, a cooperation of Max-Delbrueck Center for Molecular Medicine and Charité, Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lisa Alcock
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK
| | - Lukas Beichert
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Enrico Bertini
- Research Unit of Neuromuscular and Neurodegenerative Disorders, Bambino Gesu' Children's Research Hospital, IRCCS, Rome, Italy
| | | | - Helen Dawes
- NIHR Exeter BRC, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Hasmet Hanagasi
- Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | | | - Martina Minnerop
- Institute of Neuroscience and Medicine (INM-1)), Research Centre Juelich, Juelich, Germany
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrea H Németh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jane Newman
- NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK
- Wellcome Centre for Mitochondrial Research, Newcastle University, Newcastle upon Tyne, UK
| | - Yi Shiau Ng
- Wellcome Centre for Mitochondrial Research, Newcastle University, Newcastle upon Tyne, UK
| | - Clara Rentz
- Institute of Neuroscience and Medicine (INM-1)), Research Centre Juelich, Juelich, Germany
| | - Bedia Samanci
- Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Vrutangkumar V Shah
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
- APDM Precision Motion, Clario, Portland, OR, USA
| | - Susanna Summa
- Movement Analysis and Robotics Laboratory (MARLab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Gessica Vasco
- Movement Analysis and Robotics Laboratory (MARLab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - James McNames
- APDM Precision Motion, Clario, Portland, OR, USA
- Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA
| | - Fay B Horak
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
- APDM Precision Motion, Clario, Portland, OR, USA
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van Noort L, Van Crey N, Rouse EJ, Martínez-Caballero I, van Asseldonk EHF, Bayón C. A usability study on the inGAIT-VSO: effects of a variable-stiffness ankle-foot orthosis on the walking performance of children with cerebral palsy. J Neuroeng Rehabil 2024; 21:132. [PMID: 39090725 PMCID: PMC11293312 DOI: 10.1186/s12984-024-01433-7] [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: 04/30/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Ankle-foot orthoses (AFOs) are commonly used by children with cerebral palsy (CP), but traditional solutions are unable to address the heterogeneity and evolving needs amongst children with CP. One key limitation lies in the inability of current passive devices to customize the torque-angle relationship, which is essential to adapt the support to the specific individual needs. Powered alternatives can provide customized behavior, but often face challenges with reliability, weight, and cost. Overall, clinicians find certain barriers that hinder their prescription. In recent work, the Variable Stiffness Orthosis (VSO) was developed, enabling stiffness customization without the need for motors or sophisticated control. METHODS This work evaluates a pediatric version of the VSO (inGAIT-VSO) by investigating its impact on the walking performance of children with CP and its potential to be used as a tool for assessing the effect of variable stiffness on pathological gait. Data was collected for three typical developing (TD) children and six pediatric participants with CP over two sessions involving walking/balance tasks and questionnaires. RESULTS The sensors of the inGAIT-VSO provided useful information to assess the impact of the device. Increasing the stiffness of the inGAIT-VSO significantly reduced participants' dorsiflexion and plantarflexion. Despite reduced range of motion, the peak restoring torque increased with stiffness. Overall the participants' gait pattern was altered by reducing crouch gait, preventing drop-foot and supporting body weight. Participants with CP exhibited significantly lower (p < 0.05) physiological cost when walking with the inGAIT-VSO compared to normal condition (own AFO or shoes only). Generally, the device did not impair walking and balance of the participants compared to normal conditions. According to the questionnaire results, the inGAIT-VSO was easy to use and participants reported positive experiences. CONCLUSION The inGAIT-VSO stiffnesses significantly affected participants' plantarflexion and dorsiflexion and yielded objective data regarding walking performance in pathological gait (e.g. ankle angle, exerted torque and restored assistive energy). These effects were captured by the sensors integrated in the device without using external equipment. The inGAIT-VSO shows promise for customizing AFO stiffness and aiding clinicians in selecting a personalized stiffness based on objective metrics.
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Affiliation(s)
- Luc van Noort
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas, CAR-CSIC-UPM, Madrid, Spain
- Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands
| | - Nikko Van Crey
- Department of Robotics, University of Michigan, Michigan, United States
| | - Elliott J Rouse
- Department of Robotics, University of Michigan, Michigan, United States
- Department of Mechanical Engineering, University of Michigan, Michigan, United States
| | | | | | - Cristina Bayón
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas, CAR-CSIC-UPM, Madrid, Spain.
- Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
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Wagatsuma M, Mihy JA, Cain SM, Hafer JF. Gait kinematics differ by bout duration and setting. Gait Posture 2024; 113:232-237. [PMID: 38959554 DOI: 10.1016/j.gaitpost.2024.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Gait kinematics differ between settings and among young and older adults with and without knee osteoarthritis. Out-of-lab data has a variety of walking bout characteristics compared to controlled in-lab settings. The effect of walking bout duration on gait analysis results is unclear, and there is no standardized procedure for segmenting or selecting out-of-lab data for analysis. RESEARCH QUESTION Do gait kinematics differ by bout duration or setting in young and older adults with and without knee osteoarthritis? METHODS Ten young (28.1±3.5 yrs), ten older adults (60.8±3.3 yrs), and ten older adults with knee osteoarthritis (64.1±3.6 yrs) performed a standard in-lab gait analysis followed by a prescribed walking route outside the lab at a comfortable speed with four IMUs. Walking speed, stride length, and sagittal hip, knee, and ankle angular excursion (ROM) were calculated for each identified stride. Out-of-lab strides included straight-line, level walking divided into strides that occurred during long (>60 s) or short (≤60 s) bouts. Gait kinematics were compared between in-lab and both out-of-lab bout durations among groups. RESULTS Significant main effects of setting or duration were found for walking speed and stride length, but there were no significant differences in hip, knee, or ankle joint ROM. Walking speed and stride length were greater in-lab followed by long and short bout out-of-lab. No significant interaction was observed between group and setting or bout duration for any spatiotemporal variables or joint ROMs. SIGNIFICANCE Out-of-lab gait data can be beneficial in identifying gait characteristics that individuals may not encounter in the traditional lab setting. Setting has an impact on walking kinematics, so comparisons of in-lab and free-living gait may be impacted by the duration of walking bouts. A standardized approach for to analyzing out-of-lab gait data is important for comparing studies and populations.
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Affiliation(s)
- Mayumi Wagatsuma
- Department of Kinesiology & Applied Physiology, University of Delaware, United States
| | - Julien A Mihy
- Department of Kinesiology & Applied Physiology, University of Delaware, United States
| | - Stephen M Cain
- Department of Chemical and Biomedical Engineering, West Virginia University, United States
| | - Jocelyn F Hafer
- Department of Kinesiology & Applied Physiology, University of Delaware, United States.
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Willi R, Werner C, Demkó L, de Bie R, Filli L, Zörner B, Curt A, Bolliger M. Reliability of patient-specific gait profiles with inertial measurement units during the 2-min walk test in incomplete spinal cord injury. Sci Rep 2024; 14:3049. [PMID: 38321085 PMCID: PMC10847409 DOI: 10.1038/s41598-024-53301-y] [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: 02/12/2023] [Accepted: 01/30/2024] [Indexed: 02/08/2024] Open
Abstract
Most established clinical walking tests assess specific aspects of movement function (velocity, endurance, etc.) but are generally unable to determine specific biomechanical or neurological deficits that limit an individual's ability to walk. Recently, inertial measurement units (IMU) have been used to collect objective kinematic data for gait analysis and could be a valuable extension for clinical assessments (e.g., functional walking measures). This study assesses the reliability of an IMU-based overground gait analysis during the 2-min walk test (2mWT) in individuals with spinal cord injury (SCI). Furthermore, the study elaborates on the capability of IMUs to distinguish between different gait characteristics in individuals with SCI. Twenty-six individuals (aged 22-79) with acute or chronic SCI (AIS: C and D) completed the 2mWT with IMUs attached above each ankle on 2 test days, separated by 1 to 7 days. The IMU-based gait analysis showed good to excellent test-retest reliability (ICC: 0.77-0.99) for all gait parameters. Gait profiles remained stable between two measurements. Sensor-based gait profiling was able to reveal patient-specific gait impairments even in individuals with the same walking performance in the 2mWT. IMUs are a valuable add-on to clinical gait assessments and deliver reliable information on detailed gait pathologies in individuals with SCI.Trial registration: NCT04555759.
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Affiliation(s)
- Romina Willi
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
| | - Charlotte Werner
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
| | - László Demkó
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
| | - Rob de Bie
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
| | - Linard Filli
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
- Swiss Center for Movement Analysis (SCMA), Balgrist Campus AG, Zurich, Switzerland
| | - Björn Zörner
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
| | - Armin Curt
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland
| | - Marc Bolliger
- Spinal Cord Injury Centre Balgrist, University Hospital, Zurich, Switzerland.
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Gemperli K, Folorunso F, Norin B, Joshua R, Hill C, Rykowski R, Galindo R, Aravamuthan BR. Mice born preterm develop gait dystonia and reduced cortical parvalbumin immunoreactivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.01.578353. [PMID: 38352408 PMCID: PMC10862908 DOI: 10.1101/2024.02.01.578353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Preterm birth leading to cerebral palsy (CP) is the most common cause of childhood dystonia, a movement disorder that is debilitating and often treatment refractory. Dystonia has been typically associated with dysfunction of striatal cholinergic interneurons, but clinical imaging data suggests that cortical injury may best predict dystonia following preterm birth. Furthermore, abnormal sensorimotor cortex inhibition has been found in many studies of non-CP dystonias. To assess the potential for a cortical etiology of dystonia following preterm birth, we developed a new model of preterm birth in mice. Noting that term delivery in mice on a C57BL/6J background is embryonic day 19.1 (E19.1), we induced preterm birth at the limits of pup viability at embryonic day (E) 18.3, equivalent to human 22 weeks gestation. Mice born preterm demonstrate display clinically validated metrics of dystonia during gait (leg adduction amplitude and variability) and also demonstrate reduced parvalbumin immunoreactivity in the sensorimotor cortex, suggesting dysfunction of cortical parvalbumin-positive inhibitory interneurons. Notably, reduced parvalbumin immunoreactivity or changes in parvalbumin-positive neuronal number were not observed in the striatum. These data support the association between cortical dysfunction and dystonia following preterm birth. We propose that our mouse model of preterm birth can be used to study this association and potentially also study other sequelae of extreme prematurity.
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Affiliation(s)
- Kat Gemperli
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Femi Folorunso
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Benjamin Norin
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Rebecca Joshua
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Clayton Hill
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Rachel Rykowski
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
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Malesevic N, Svensson I, Hägglund G, Antfolk C. An Integrated Approach for Real-Time Monitoring of Knee Dynamics with IMUs and Multichannel EMG. SENSORS (BASEL, SWITZERLAND) 2023; 23:8955. [PMID: 37960654 PMCID: PMC10649777 DOI: 10.3390/s23218955] [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: 09/28/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023]
Abstract
Measuring human joint dynamics is crucial for understanding how our bodies move and function, providing valuable insights into biomechanics and motor control. Cerebral palsy (CP) is a neurological disorder affecting motor control and posture, leading to diverse gait abnormalities, including altered knee angles. The accurate measurement and analysis of knee angles in individuals with CP are crucial for understanding their gait patterns, assessing treatment outcomes, and guiding interventions. This paper presents a novel multimodal approach that combines inertial measurement unit (IMU) sensors and electromyography (EMG) to measure knee angles in individuals with CP during gait and other daily activities. We discuss the performance of this integrated approach, highlighting the accuracy of IMU sensors in capturing knee joint movements when compared with an optical motion-tracking system and the complementary insights offered by EMG in assessing muscle activation patterns. Moreover, we delve into the technical aspects of the developed device. The presented results show that the angle measurement error falls within the reported values of the state-of-the-art IMU-based knee joint angle measurement devices while enabling a high-quality EMG recording over prolonged periods of time. While the device was designed and developed primarily for measuring knee activity in individuals with CP, its usability extends beyond this specific use-case scenario, making it suitable for applications that involve human joint evaluation.
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Affiliation(s)
- Nebojsa Malesevic
- Department of Biomedical Engineering, Faculty of Engineering, 223 63 Lund, Sweden; (I.S.); (C.A.)
| | - Ingrid Svensson
- Department of Biomedical Engineering, Faculty of Engineering, 223 63 Lund, Sweden; (I.S.); (C.A.)
| | - Gunnar Hägglund
- Orthopedics, Department of Clinical Sciences, Lund University, 223 65 Lund, Sweden;
- Department of Orthopedics, Skane University Hospital, 223 65 Lund, Sweden
| | - Christian Antfolk
- Department of Biomedical Engineering, Faculty of Engineering, 223 63 Lund, Sweden; (I.S.); (C.A.)
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Voisard C, de l'Escalopier N, Vienne-Jumeau A, Moreau A, Quijoux F, Bompaire F, Sallansonnet M, Brechemier ML, Taifas I, Tafani C, Drouard E, Vayatis N, Ricard D, Oudre L. Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram. Front Neurol 2023; 14:1237162. [PMID: 37780706 PMCID: PMC10540441 DOI: 10.3389/fneur.2023.1237162] [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: 06/08/2023] [Accepted: 08/24/2023] [Indexed: 10/03/2023] Open
Abstract
Background Quantifying gait using inertial measurement units has gained increasing interest in recent years. Highly degraded gaits, especially in neurological impaired patients, challenge gait detection algorithms and require specific segmentation and analysis tools. Thus, the outcomes of these devices must be rigorously tested for both robustness and relevancy in order to recommend their routine use. In this study, we propose a multidimensional score to quantify and visualize gait, which can be used in neurological routine follow-up. We assessed the reliability and clinical coherence of this method in a group of severely disabled patients with progressive multiple sclerosis (pMS), who display highly degraded gait patterns, as well as in an age-matched healthy subjects (HS) group. Methods Twenty-two participants with pMS and nineteen HS were included in this 18-month longitudinal follow-up study. During the follow-up period, all participants completed a 10-meter walk test with a U-turn and back, twice at M0, M6, M12, and M18. Average speed and seven clinical criteria (sturdiness, springiness, steadiness, stability, smoothness, synchronization, and symmetry) were evaluated using 17 gait parameters selected from the literature. The variation of these parameters from HS values was combined to generate a multidimensional visual tool, referred to as a semiogram. Results For both cohorts, all criteria showed moderate to very high test-retest reliability for intra-session measurements. Inter-session quantification was also moderate to highly reliable for all criteria except smoothness, which was not reliable for HS participants. All partial scores, except for the stability score, differed between the two populations. All partial scores were correlated with an objective but not subjective quantification of gait severity in the pMS population. A deficit in the pyramidal tract was associated with altered scores in all criteria, whereas deficits in cerebellar, sensitive, bulbar, and cognitive deficits were associated with decreased scores in only a subset of gait criteria. Conclusions The proposed multidimensional gait quantification represents an innovative approach to monitoring gait disorders. It provides a reliable and informative biomarker for assessing the severity of gait impairments in individuals with pMS. Additionally, it holds the potential for discriminating between various underlying causes of gait alterations in pMS.
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Affiliation(s)
- Cyril Voisard
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Nicolas de l'Escalopier
- Université Paris Cité, Université Paris Saclay, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Paris, France
- Service de Chirurgie Orthopédique, Traumatologique et Réparatrice des Membres, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Aliénor Vienne-Jumeau
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
| | - Albane Moreau
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
| | - Flavien Quijoux
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
| | - Flavie Bompaire
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
- Université Paris Cité, Université Paris Saclay, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Paris, France
| | - Magali Sallansonnet
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Marie-Laure Brechemier
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Irina Taifas
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Camille Tafani
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Eve Drouard
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Nicolas Vayatis
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
| | - Damien Ricard
- Service de Neurologie, Service de Santé des Armées, Hôpital d'Instruction des Armées Percy, Clamart, France
- Université Paris Cité, Université Paris Saclay, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Paris, France
- Ecole du Val-de-Grâce, Service de Santé des Armées, Paris, France
| | - Laurent Oudre
- Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France
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Zhou L, Fischer E, Brahms CM, Granacher U, Arnrich B. DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units. Sci Data 2023; 10:543. [PMID: 37604913 PMCID: PMC10442385 DOI: 10.1038/s41597-023-02391-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 07/17/2023] [Indexed: 08/23/2023] Open
Abstract
In recent years, there has been a growing interest in developing and evaluating gait analysis algorithms based on inertial measurement unit (IMU) data, which has important implications, including sports, assessment of diseases, and rehabilitation. Multi-tasking and physical fatigue are two relevant aspects of daily life gait monitoring, but there is a lack of publicly available datasets to support the development and testing of methods using a mobile IMU setup. We present a dataset consisting of 6-minute walks under single- (only walking) and dual-task (walking while performing a cognitive task) conditions in unfatigued and fatigued states from sixteen healthy adults. Especially, nine IMUs were placed on the head, chest, lower back, wrists, legs, and feet to record under each of the above-mentioned conditions. The dataset also includes a rich set of spatio-temporal gait parameters that capture the aspects of pace, symmetry, and variability, as well as additional study-related information to support further analysis. This dataset can serve as a foundation for future research on gait monitoring in free-living environments.
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Affiliation(s)
- Lin Zhou
- Digital Health - Connected Healthcare, Hasso Plattner Institute, University of Potsdam, Potsdam, 14482, Germany.
| | - Eric Fischer
- Digital Health - Connected Healthcare, Hasso Plattner Institute, University of Potsdam, Potsdam, 14482, Germany
| | - Clemens Markus Brahms
- Division of Training and Movement Sciences, University of Potsdam, 14469, Potsdam, Germany
- Department of Sport and Sport Science, Exercise and Human Movement Science, University of Freiburg, 79102, Freiburg, Germany
| | - Urs Granacher
- Department of Sport and Sport Science, Exercise and Human Movement Science, University of Freiburg, 79102, Freiburg, Germany
| | - Bert Arnrich
- Digital Health - Connected Healthcare, Hasso Plattner Institute, University of Potsdam, Potsdam, 14482, Germany.
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Kretch KS, Koziol NA, Marcinowski EC, Hsu LY, Harbourne RT, Lobo MA, McCoy SW, Willett SL, Dusing SC. Sitting Capacity and Performance in Infants with Typical Development and Infants with Motor Delay. Phys Occup Ther Pediatr 2023; 44:164-179. [PMID: 37550959 DOI: 10.1080/01942638.2023.2241537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023]
Abstract
AIMS Infants with neuromotor disorders demonstrate delays in sitting skills (decreased capacity) and are less likely to maintain independent sitting during play than their peers with typical development (decreased performance). This study aimed to quantify developmental trajectories of sitting capacity and sitting performance in infants with typical development and infants with significant motor delay and to assess whether the relationship between capacity and performance differs between the groups. METHODS Typically developing infants (n = 35) and infants with significant motor delay (n = 31) were assessed longitudinally over a year following early sitting readiness. The Gross Motor Function Measure (GMFM) Sitting Dimension was used to assess sitting capacity, and a 5-min free play observation was used to assess sitting performance. RESULTS Both capacity and performance increased at a faster rate initially, with more deceleration across time, in infants with typical development compared to infants with motor delay. At lower GMFM scores, changes in GMFM sitting were associated with larger changes in independent sitting for infants with typical development, and the association between GMFM sitting and independent sitting varied more across GMFM scores for typically developing infants. CONCLUSIONS Intervention and assessment for infants with motor delay should target both sitting capacity and sitting performance.
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Affiliation(s)
- Kari S Kretch
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States
| | - Natalie A Koziol
- Nebraska Center for Research on Children, Youth, Families and Schools, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Emily C Marcinowski
- School of Kinesiology, Louisiana State University, Baton Rouge, LA, United States
| | - Lin-Ya Hsu
- Division of Physical Therapy, University of Washington, Seattle, WA, United States
| | - Regina T Harbourne
- Department of Physical Therapy, Duquesne University, Pittsburgh PA, United States
| | - Michele A Lobo
- Department of Physical Therapy, University of Delaware, Newark, DE, United States
| | - Sarah W McCoy
- Division of Physical Therapy, University of Washington, Seattle, WA, United States
| | - Sandra L Willett
- Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE, United States
| | - Stacey C Dusing
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States
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10
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Hafer JF, Vitali R, Gurchiek R, Curtze C, Shull P, Cain SM. Challenges and advances in the use of wearable sensors for lower extremity biomechanics. J Biomech 2023; 157:111714. [PMID: 37423120 PMCID: PMC10529245 DOI: 10.1016/j.jbiomech.2023.111714] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/23/2023] [Accepted: 07/03/2023] [Indexed: 07/11/2023]
Abstract
The use of wearable sensors for the collection of lower extremity biomechanical data is increasing in popularity, in part due to the ease of collecting data and the ability to capture movement outside of traditional biomechanics laboratories. Consequently, an increasing number of researchers are facing the challenges that come with utilizing the data captured by wearable sensors. These challenges include identifying/calculating meaningful measures from unfamiliar data types (measures of acceleration and angular velocity instead of positions and joint angles), defining sensor-to-segment alignments for calculating traditional biomechanics metrics, using reduced sensor sets and machine learning to predict unmeasured signals, making decisions about when and how to make algorithms freely available, and developing or replicating methods to perform basic processing tasks such as recognizing activities of interest or identifying gait events. In this perspective article, we present our own approaches to common challenges in lower extremity biomechanics research using wearable sensors and share our perspectives on approaching several of these challenges. We present these perspectives with examples that come mostly from gait research, but many of the concepts also apply to other contexts where researchers may use wearable sensors. Our goal is to introduce common challenges to new users of wearable sensors, and to promote dialogue amongst experienced users towards best practices.
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Affiliation(s)
- Jocelyn F Hafer
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States.
| | - Rachel Vitali
- Department of Mechanical Engineering, University of Iowa, Iowa City, IA, United States
| | - Reed Gurchiek
- Department of Bioengineering, Stanford University, Stanford, CA, United States
| | - Carolin Curtze
- Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, United States
| | - Peter Shull
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, China
| | - Stephen M Cain
- Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, United States
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11
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Fary C, Cholewa J, Abshagen S, Van Andel D, Ren A, Anderson MB, Tripuraneni K. Stepping Beyond Counts in Recovery of Total Hip Arthroplasty: A Prospective Study on Passively Collected Gait Metrics. SENSORS (BASEL, SWITZERLAND) 2023; 23:6538. [PMID: 37514832 PMCID: PMC10383890 DOI: 10.3390/s23146538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Gait quality parameters have been used to measure recovery from total hip arthroplasty (THA) but are time-intensive and previously could only be performed in a lab. Smartphone sensor data and algorithmic advances presently allow for the passive collection of qualitative gait metrics. The purpose of this prospective study was to observe the recovery of physical function following THA by assessing passively collected pre- and post-operative gait quality metrics. This was a multicenter, prospective cohort study. From six weeks pre-operative through to a minimum 24 weeks post-operative, 612 patients used a digital care management application that collected gait metrics. Average weekly walking speed, step length, timing asymmetry, and double limb support percentage pre- and post-operative values were compared with a paired-sample t-test. Recovery was defined as the post-operative week when the respective gait metric was no longer statistically inferior to the pre-operative value. To control for multiple comparison error, significance was set at p < 0.002. Walking speeds and step length were lowest, and timing asymmetry and double support percentage were greatest at week two post-post-operative (p < 0.001). Walking speed (1.00 ± 0.14 m/s, p = 0.04), step length (0.58 ± 0.06 m/s, p = 0.02), asymmetry (14.5 ± 19.4%, p = 0.046), and double support percentage (31.6 ± 1.5%, p = 0.0089) recovered at 9, 8, 7, and 10 weeks post-operative, respectively. Walking speed, step length, asymmetry, and double support all recovered beyond pre-operative values at 13, 17, 10, and 18 weeks, respectively (p < 0.002). Functional recovery following THA can be measured via passively collected gait quality metrics using a digital care management platform. The data suggest that metrics of gait quality are most negatively affected two weeks post-operative; recovery to pre-operative levels occurs at approximately 10 weeks following primary THA, and follows a slower trajectory compared to previously reported step count recovery trajectories.
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Affiliation(s)
- Camdon Fary
- Epworth Foundation, Richmond, VIC 3121, Australia
- Department of Orthopaedics, Western Hospital, Melbourne, VIC 3011, Australia
| | | | | | | | - Anna Ren
- Zimmer Biomet, Warsaw, IN 46580, USA
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Bayón C, Hoorn MV, Barrientos A, Rocon E, Trost JP, Asseldonk EHFV. Perspectives on ankle-foot technology for improving gait performance of children with Cerebral Palsy in daily-life: requirements, needs and wishes. J Neuroeng Rehabil 2023; 20:44. [PMID: 37046284 PMCID: PMC10099972 DOI: 10.1186/s12984-023-01162-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Ankle-foot orthoses (AFOs) are extensively used as a primary management method to assist ambulation of children with Cerebral Palsy (CP). However, there are certain barriers that hinder their prescription as well as their use as a mobility device in all kinds of daily-life activities. This exploratory research attempts to further understand the existing limitations of current AFOs to promote a better personalization of new design solutions. METHODS Stakeholders' (professionals in CP and end-users with CP) perspectives on AFO technology were collected by two online surveys. Respondents evaluated the limitations of current assistive solutions and assessment methods, provided their expectations for a new AFO design, and analyzed the importance of different design features and metrics to enrich the gait performance of these patients in daily-life. Quantitative responses were rated and compared with respect to their perceived importance. Qualitative responses were classified into themes by using content analysis. RESULTS 130 survey responses from ten countries were analyzed, 94 from professionals and 36 from end-users with CP. The most highly rated design features by both stakeholder groups were the comfort and the ease of putting on and taking off the assistive device. In general, professionals preferred new features to enrich the independence of the patient by improving gait at functional levels. End-users also considered their social acceptance and participation. Health care professionals reported a lack of confidence concerning decision-making about AFO prescription. To some degree, this may be due to the reported inconsistent understanding of the type of assistance required for each pathological gait. Thus, they indicated that more information about patients' day-to-day walking performance would be beneficial to assess patients' capabilities. CONCLUSION This study emphasizes the importance of developing new approaches to assess and treat CP gait in daily-life situations. The stakeholders' needs and criteria reported here may serve as insights for the design of future assistive devices and for the follow-up monitoring of these patients.
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Affiliation(s)
- Cristina Bayón
- Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
- Centro de Automática y Robótica, Universidad Politécnica de Madrid, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
| | - Marleen van Hoorn
- Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands
| | - Antonio Barrientos
- Centro de Automática y Robótica, Universidad Politécnica de Madrid, Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Eduardo Rocon
- Centro de Automática y Robótica, Universidad Politécnica de Madrid, Consejo Superior de Investigaciones Científicas, Madrid, Spain
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Khan Z, Jiao X, Hu T, Shao Q, Sun X, Zhao X, Gu D. Investigation of gait, balance and lower extremity muscle activity during walking in patients with cervical spondylotic myelopathy using wearable sensors. Spine J 2023:S1529-9430(23)00106-7. [PMID: 36934793 DOI: 10.1016/j.spinee.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/28/2023] [Accepted: 03/10/2023] [Indexed: 03/21/2023]
Abstract
BACKGROUND CONTEXT Cervical spondylotic myelopathy (CSM) is a degenerative disease caused by cervical cord compression and can lead to the significant impairment of motor function including gait and balance disturbances and changes in lower extremity muscle activity. PURPOSE This study aimed to characterize gait, balance and lower extremity muscle activity in patients with CSM compared to age-matched healthy controls (HCs) using wearable sensors in the clinical setting. STUDY DESIGN Non-Randomized, prospective cohort study. PATIENT SAMPLE 10 CSM patients and 10 age-matched HCs were recruited for this study. OUTCOME MEASURES Gait and balance function parameters contained spatial temporal parameters, step regularity (SR1), stride regularity (SR2) and harmonic ratio (HR). EMG muscle activity parameters included time to peak and peak value during loading, stance, and swing phase. METHODS In this study, parameters of gait and balance function were extracted using triaxial accelerometer attached to the spinous processes of Lumbar 5 while participants performed an overground walking at a self-preferred speed. Moreover, muscular activity was simultaneously recorded via sEMG sensors attached to tibialis anterior (TA), rectus femoris (RF), bicep femoris (BF) and gastrocnemius lateral (GL). Independent sample t-test was used to find the differences between CSM patients and HCs. RESULTS Gait analysis showed cadence, step length and walking speed were statistically significantly lower in CSM patients than HCs. Stride time was significantly higher for CSM patients in comparison to HCs. Lower root mean square ratio (RMSR) of acceleration in the mediolateral (ML) direction, HR in the anteroposterior (AP) direction, SR1 in the AP direction and SR2 in all three directions were observed in CSM patients. For muscle activity analysis, EMG RMS for TA and RF during loading phase and RMS for GL during midstance phase was significantly lower for CSM patients, while significantly higher value was observed for RF RMS during midstance phase and GL RMS during swing phase in CSM patients. CONCLUSION Our pilot study shows that wearable sensors are able to detect the changes of gait, balance and lower extremity muscle activities of CSM patients in the clinical setting. This pilot study sets the stage for future researches on the diagnosis and monitor progression of CSM disease using wearable technology.
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Affiliation(s)
- Zawar Khan
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China; School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China; Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China
| | - Xin Jiao
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China; School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China; Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China
| | - Tianyi Hu
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China; School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China; Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China
| | - Qineng Shao
- School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China; Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China
| | - Xin Sun
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China
| | - Xin Zhao
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China.
| | - Dongyun Gu
- Shanghai Key Laboratory of Orthopaedic Implants and Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, Shanghai 200011, China; School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China; Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education, Shanghai 200030, China.
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14
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Mavragani A, Michels L, Schmidt A, Barinka F, de Bruin ED. Effectiveness of an Individualized Exergame-Based Motor-Cognitive Training Concept Targeted to Improve Cognitive Functioning in Older Adults With Mild Neurocognitive Disorder: Study Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2023; 12:e41173. [PMID: 36745483 PMCID: PMC9941909 DOI: 10.2196/41173] [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: 07/20/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Simultaneous motor-cognitive training is considered promising for preventing the decline in cognitive functioning in older adults with mild neurocognitive disorder (mNCD) and can be highly motivating when applied in the form of exergaming. The literature points to opportunities for improvement in the application of exergames in individuals with mNCD by developing novel exergames and exergame-based training concepts that are specifically tailored to patients with mNCD and ensuring the implementation of effective training components. OBJECTIVE This study systematically explores the effectiveness of a newly developed exergame-based motor-cognitive training concept (called "Brain-IT") targeted to improve cognitive functioning in older adults with mNCD. METHODS A 2-arm, parallel-group, single-blinded randomized controlled trial with a 1:1 allocation ratio (ie, intervention: control), including 34 to 40 older adults with mNCD will be conducted between May 2022 and December 2023. The control group will proceed with the usual care provided by the (memory) clinics where the patients are recruited. The intervention group will perform a 12-week training intervention according to the "Brain-IT" training concept, in addition to usual care. Global cognitive functioning will be assessed as the primary outcome. As secondary outcomes, domain-specific cognitive functioning, brain structure and function, spatiotemporal parameters of gait, instrumental activities of daily living, psychosocial factors, and resting cardiac vagal modulation will be assessed. Pre- and postintervention measurements will take place within 2 weeks before starting and after completing the intervention. A 2-way analysis of covariance or the Quade nonparametric analysis of covariance will be computed for all primary and secondary outcomes, with the premeasurement value as a covariate for the predicting group factor and the postmeasurement value as the outcome variable. To determine whether the effects are substantive, partial eta-squared (η2p) effect sizes will be calculated for all primary and secondary outcomes. RESULTS Upon the initial submission of this study protocol, 13 patients were contacted by the study team. Four patients were included in the study, 2 were excluded because they were not eligible, and 7 were being informed about the study in detail. Of the 4 included patients, 2 already completed all premeasurements and were in week 2 of the intervention period. Data collection is expected to be completed by December 2023. A manuscript of the results will be submitted for publication in a peer-reviewed open-access journal in 2024. CONCLUSIONS This study contributes to the evidence base in the highly relevant area of preventing disability because of cognitive impairment, which has been declared a public health priority by the World Health Organization. TRIAL REGISTRATION ClinicalTrials.gov NCT05387057; https://clinicaltrials.gov/ct2/show/NCT05387057. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/41173.
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Affiliation(s)
| | - Lars Michels
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - André Schmidt
- Department of Psychiatry, University of Basel, Basel, Switzerland
| | - Filip Barinka
- Clinic for Neurology, Hirslanden Hospital Zurich, Zurich, Switzerland
| | - Eling D de Bruin
- Motor Control and Learning Group - Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.,Department of Health, OST - Eastern Swiss University of Applied Sciences, St. Gallen, Switzerland
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15
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Krasny J, Jozwiak M, Rodby-Bousquet E. Comparison of the six-minute walk test performed over a 15 and 30 m course by children with cerebral palsy. BMC Musculoskelet Disord 2023; 24:34. [PMID: 36650438 PMCID: PMC9843890 DOI: 10.1186/s12891-022-05944-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 11/02/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND The aim of this study was to compare performance on the six-minute walk test (6MWT) performed over 15 m and 30 m courses by children and youths with cerebral palsy (CP). METHODS Children and youths with CP at Gross Motor Function Classification System levels I-IV performed the 6MWT in a straight 15 m-long corridor (first trial) and 30 m-long corridor (second trial). The intraclass correlation coefficient (ICC) and Bland-Altman plots were used to evaluate the agreement between the 6MWT results for the two corridor lengths. RESULTS We included 82 children and youths with CP (36 girls, 46 boys), with a mean age of 11.7 years (SD 4.2, range 5-22 years). There was high agreement between the results of the two 6MWTs: ICC 0.93 (95% confidence interval 0.76-0.97). The total walking distance was longer for the 30 m course (median 399 m, range 44-687 m) than the 15 m course (median 357 m, range 24-583 m). CONCLUSIONS We observed good agreement for the performance of the 6MWT in the 15 m and 30 m courses, although the total walking distance was greater for the 30 m course. We recommend that the same distance is used when evaluating changes in walking ability for an individual child. Both distances are appropriate when measuring endurance in children and youths with CP.
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Affiliation(s)
- Joanna Krasny
- grid.22254.330000 0001 2205 0971Department of Pediatric Orthopedics and Traumatology, Poznan University of Medical Sciences, Poznań, Poland
| | - Marek Jozwiak
- grid.22254.330000 0001 2205 0971Department of Pediatric Orthopedics and Traumatology, Poznan University of Medical Sciences, Poznań, Poland
| | - Elisabet Rodby-Bousquet
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Orthopaedics, Lund University, Lund, Sweden ,grid.8993.b0000 0004 1936 9457Centre for Clinical Research, Uppsala University-Region Västmanland, Västerås, Sweden
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16
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Relationship between kinematic gait quality and caregiver-reported everyday mobility in children and youth with spastic Cerebral Palsy. Eur J Paediatr Neurol 2023; 42:88-96. [PMID: 36587415 DOI: 10.1016/j.ejpn.2022.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 08/09/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND 3D gait analysis (3DGA) is a common assessment in Cerebral Palsy (CP) to quantify the extent of movement abnormalities. Yet, 3DGA is performed in laboratories and may thus be of debatable significance to everyday life. AIM The aim was to assess the relationship between kinematic gait abnormality and everyday mobility in ambulatory children and youth with spastic CP. METHODS 73 paediatric and juvenile patients with uni- or bilateral spastic CP (N = 21 USCP, N = 52, BSCP, age: 4-20 y, GMFCS I-III) underwent a 3DGA, while the MobQues47 Questionnaire quantified caregiver-reported mobility. We calculated the Gait Profile Score (GPS), a metric that summarizes how far the lower limb joint angles during walking deviate from those of matched controls. RESULTS The GPS correlated well with indoor and outdoor mobility (rho = -0.69 and -0.70, both p < 0.001) and the relationships were not significantly different for USCP and BSCP. Still, mobility was lower in BSCP (p < 0.001) and more compromised outdoors (p = 0.002). Indoor mobility could be predicted by walking speed, GPS and age (adj. R2 = 0.62). Outdoor mobility was best predicted by walking speed and GPS (adj. R2 = 0.60). The additive explained variance by the GPS was even higher outdoors than indoors (17.1% vs. 11.4%). CONCLUSIONS Measuring movement deviations with 3DGA seems equally meaningful in uni- and bilaterally affected children and has considerable relevance for real-life ambulation, particurlarly outdoors, where children with spastic CP typically face greater difficulties. Therapeutic strategies that achieve faster walking and reduction of kinematic deviations may increase outdoor mobility.
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Rast FM, Labruyère R. Sensor-based outcomes to monitor everyday life motor activities of children and adolescents with neuromotor impairments: A survey with health professionals. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:865701. [PMID: 36311205 PMCID: PMC9596974 DOI: 10.3389/fresc.2022.865701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022]
Abstract
In combination with appropriate data processing algorithms, wearable inertial sensors enable the measurement of motor activities in children's and adolescents' habitual environments after rehabilitation. However, existing algorithms were predominantly designed for adult patients, and their outcomes might not be relevant for a pediatric population. In this study, we identified the needs of pediatric rehabilitation to create the basis for developing new algorithms that derive clinically relevant outcomes for children and adolescents with neuromotor impairments. We conducted an international survey with health professionals of pediatric neurorehabilitation centers, provided them a list of 34 outcome measures currently used in the literature, and asked them to rate the clinical relevance of these measures for a pediatric population. The survey was completed by 62 therapists, 16 doctors, and 9 nurses of 16 different pediatric neurorehabilitation centers from Switzerland, Germany, and Austria. They had an average work experience of 13 ± 10 years. The most relevant outcome measures were the duration of lying, sitting, and standing positions; the amount of active self-propulsion during wheeling periods; the hand use laterality; and the duration, distance, and speed of walking periods. The health profession, work experience, and workplace had a minimal impact on the priorities of health professionals. Eventually, we complemented the survey findings with the family priorities of a previous study to provide developers with the clinically most relevant outcomes to monitor everyday life motor activities of children and adolescents with neuromotor impairments.
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Affiliation(s)
- Fabian Marcel Rast
- Swiss Children’s Rehab, University Children’s Hospital Zurich, Affoltern am Albis, Switzerland,Children’s Research Center, University Children’s Hospital of Zurich, University of Zurich, Zurich, Switzerland,Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland,Correspondence: Fabian Rast
| | - Rob Labruyère
- Swiss Children’s Rehab, University Children’s Hospital Zurich, Affoltern am Albis, Switzerland,Children’s Research Center, University Children’s Hospital of Zurich, University of Zurich, Zurich, Switzerland
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Prosser LA, Atkinson HL, Alfano JM, Leff M, Kessler SK, Gouelle A, Ichord RB. Normalizing step-to-step variability to age in children and adolescents with hemiplegia. Gait Posture 2022; 98:6-8. [PMID: 35994953 DOI: 10.1016/j.gaitpost.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/19/2022] [Accepted: 08/13/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Children with hemiplegia often demonstrate gait deviations including increased variability and asymmetry. Step-to-step gait variability decreases over childhood and increases in the presence of neurologic dysfunction. Gait variability in children with hemiplegia should therefore be interpreted in reference to age-related norms RESEARCH QUESTION: Does conversion of the enhanced gait variability index (eGVI) to age-normalized z-scores improve interpretation of gait variability in children with hemiplegia? METHODS Ten children (11.2 +/- 4.1 years) with hemiparetic gait due to stroke were recruited for a small prospective pilot intervention study. Participants walked at self-selected speed over an instrumented walkway while barefeet and while wearing shoes. eGVI values from baseline sessions were calculated and converted to age-normalized z-scores (eGVIz) based on published norms. Differences in gait variability between sides and footwear conditions, and its relationship to walking speed, were examined. RESULTS There were no differences in raw eGVI or eGVIz between paretic and nonparetic sides (eGVI p = 0.31; eGVIz p = 0.31) or between footwear conditions (eGVI p = 0.62; eGVIz p = 0.33). Average raw eGVI values were just over two standards deviations above the reference mean of 100 (121.2, 122.1, 120.3 for mean (average of both limbs), nonparetic side and paretic side, respectively), indicating significantly greater step-to-step gait variability than in typical gait. However, when converted to age-normalized z-scores (eGVIz), variability deviated less from the normative sample, averaging just over one standard deviation above the reference mean (1.2, 1.3, 1.1 for mean, nonparetic side and paretic side, respectively). We also observed a relationship between eGVIz and walking speed in our sample. SIGNIFICANCE We suggest that eGVI values in children be converted to z-scores or otherwise age-normalized so as not to inflate the degree of variability reported in clinical pediatric populations. Future work with larger samples will offer greater insight into gait variability in various clinical pediatric populations.
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Affiliation(s)
- Laura A Prosser
- Division of Rehabilitation Medicine, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA.
| | - Heather L Atkinson
- Department of Physical Therapy, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA.
| | - James M Alfano
- Department of Physical Therapy, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA.
| | - Marissa Leff
- University of North Carolina, Chapel Hill, NC, USA; Center for Public Health Readiness and Response, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sudha K Kessler
- Division of Pediatric Neurology, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA.
| | - Arnaud Gouelle
- Performance, Santé, Métrologie, Société (PSMS), UFR STAPS (University of Sport Sciences), 51100 Reims, France; Gait and Balance Academy, ProtoKinetics, Havertown, PA 19083, USA
| | - Rebecca B Ichord
- Division of Pediatric Neurology, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA.
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19
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Kraan CM, Date P, Rattray A, Sangeux M, Bui QM, Baker EK, Morison J, Amor DJ, Godler DE. Feasibility of wearable technology for 'real-world' gait analysis in children with Prader-Willi and Angelman syndromes. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2022; 66:717-725. [PMID: 35713265 DOI: 10.1111/jir.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/24/2022] [Accepted: 05/25/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Prader-Willi syndrome (PWS) and Angelman syndrome (AS) are neurodevelopmental disorders in need of innovative 'real-world' outcome measures to evaluate treatment effects. Instrumented gait analysis (IGA) using wearable technology offers a potentially feasible solution to measure "real-world' neurological and motor dysfunction in these groups. METHODS Children (50% female; 6-16 years) diagnosed with PWS (n = 9) and AS (n = 5) completed 'real-world' IGA assessments using the Physilog®5 wearable. PWS participants completed a laboratory assessment and a 'real-world' long walk. The AS group completed 'real-world' caregiver-assisted assessments. Mean and variability results for stride time, cadence, stance percentage (%) and stride length were extracted and compared across three different data reduction protocols. RESULTS The wearables approach was found to be feasible, with all participants able to complete at least one assessment. This study also demonstrated significant agreement, using Lin's concordance correlation coefficient (CCC), between laboratory and 'real-world' assessments in the PWS group for mean stride length, mean stance % and stance % CV (n = 7, CCC: 0.782-0.847, P = 0.011-0.009). CONCLUSION 'Real-world' gait analysis using the Physilog®5 wearable was feasible to efficiently assess neurological and motor dysfunction in children affected with PWS and AS.
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Affiliation(s)
- C M Kraan
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - P Date
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - A Rattray
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - M Sangeux
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Laboratory for Movement Analysis, University Children's Hospital Basel, Basel, Switzerland
| | - Q M Bui
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - E K Baker
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - J Morison
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - D J Amor
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - D E Godler
- Diagnosis and Development, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
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20
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Dussault-Picard C, Mohammadyari SG, Arvisais D, Robert MT, Dixon PC. Gait adaptations of individuals with cerebral palsy on irregular surfaces: A scoping review. Gait Posture 2022; 96:35-46. [PMID: 35567895 DOI: 10.1016/j.gaitpost.2022.05.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 03/25/2022] [Accepted: 05/05/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Individuals with cerebral palsy (CP) have a reduced ability to perform motor tasks such as walking. During daily walking, they are confronted with environmental constraints such as irregular surfaces (e.g., relief and uneven surfaces) which may require adaptations to maintain stability and avoid falls. Laboratory gait assessments are conventionally conducted under ideal conditions (e.g., regular and even surfaces) and may overlook subtle problems which may only present in challenging walking environments. Increased knowledge of adaptations to successfully navigate irregular surfaces may contribute to a better understanding of everyday walking barriers. RESEARCH QUESTION This scoping review aims to describe gait adaptations to irregular surfaces in individuals with CP and contrast adaptations with those of healthy individuals. METHODS This review followed the 6-stage Joanna Briggs Institute methodology and respected the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews statement. The MEDLINE, EMBASE, CINAHL, SPORTDiscus, and Web of Science databases were searched on March 2021. RESULTS The research strategy identified 1616 studies published between 2014 and 2020, of which 10 were included after abstract and full-text screening. This review reported on 152 individuals with CP (diplegia: n = 117, hemiplegia: n = 35) and 159 healthy individuals. The included studies focused on spatial-temporal, kinematic, kinetic, and muscle activity parameters over relief, inclined, and staircase surfaces. 7/10 studies were conducted in laboratories, often using surfaces that are not representative of the real-world. The results suggest that for individuals with CP, adaptations on irregular surfaces differ from flat surface walking and across CP subtype. Moreover, individuals with CP present with typical and pathology-specific adaptations to irregular surfaces compared to healthy individuals. SIGNIFICANCE This review highlights the clinical and research interest of focusing future studies on more ecologically valid data collection approaches and provides important recommendations to overcome research gaps in the existing literature.
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Affiliation(s)
- C Dussault-Picard
- School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, University of Montreal, Canada; Research Center of the Sainte-Justine University Hospital (CRCHUSJ), Canada.
| | - S G Mohammadyari
- School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, University of Montreal, Canada; Research Center of the Sainte-Justine University Hospital (CRCHUSJ), Canada
| | - D Arvisais
- Health Sciences Libraries, University of Montreal, Canada
| | - M T Robert
- Department of Rehabilitation, Faculty of Medicine, Laval University, Canada
| | - P C Dixon
- School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, University of Montreal, Canada; Research Center of the Sainte-Justine University Hospital (CRCHUSJ), Canada
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21
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Low WS, Chan CK, Chuah JH, Tee YK, Hum YC, Salim MIM, Lai KW. A Review of Machine Learning Network in Human Motion Biomechanics. JOURNAL OF GRID COMPUTING 2022; 20:4. [DOI: 10.1007/s10723-021-09595-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 11/28/2021] [Indexed: 07/26/2024]
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22
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Gait Parameters in Healthy Preschool and School Children Assessed Using Wireless Inertial Sensor. SENSORS 2021; 21:s21196423. [PMID: 34640743 PMCID: PMC8512031 DOI: 10.3390/s21196423] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/12/2022]
Abstract
Background: The objective gait assessment in children has become more popular. Basis parameters for comparison during the examination are advisable. Objectives: The study aim was to investigate the typical gait parameters of healthy preschool and school children, using a wireless inertial sensor as the reference for atypical gait. The additional aim was to compare the specific gait parameters in the younger and older group of children. Methods: One hundred and sixty-one children’s gait parameters were evaluated by a G-Walk BTS G-SENSOR smart analyzer. The children were walking barefoot, at a self-selected speed, on a five-meter walkway, and they turned around and go back twice. Results: Age significantly influences most of the spatiotemporal parameters. The support phase becomes shorter with age. Accordingly, the swing phase becomes longer with age. The results also show that older children need shorter double support and have longer single support. Moreover, the pelvic tilt symmetry index is higher with increasing age. In each age division, the smallest variation in all gait parameters within the oldest group of examined children was observed. A comparison between the left and right side gait parameters shows the higher difference in boys than in girls. A significant difference was calculated in the pelvic obliquity symmetry index. Girls had significantly more symmetrical obliquity than boys. Conclusions: the research indicates the basic parameters of typical children’s gait, which may be a reference to atypical gait in the case of trauma or disability.
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Soltani A, Abolhassani N, Marques-Vidal P, Aminian K, Vollenweider P, Paraschiv-Ionescu A. Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study. Sci Rep 2021; 11:18966. [PMID: 34556721 PMCID: PMC8460744 DOI: 10.1038/s41598-021-98359-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 08/24/2021] [Indexed: 02/08/2023] Open
Abstract
Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohort studies, using data recorded with a wrist-worn accelerometer device; (2) investigate whether the walking speed assessed in the real-world is consistent with expected trends, and associated with clinical scores such as frailty/handgrip strength. This cross-sectional study included n = 2809 participants (1508 women, 1301 men, [45-75] years old), monitored with a wrist-worn device for 13 consecutive days. Validated algorithms were used to detect the gait bouts and estimate speed. A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The estimated usual gait speed (1-1.6 m/s) appears consistent with normative values and expected trends with age, gender, BMI and physical activity levels. Speed metrics significantly improved detection of frailty: AUC increase from 0.763 (no speed metrics) to 0.798, 0.800 and 0.793 for the 95th percentile of individual's gait speed for bout durations < 30, 30-120 and > 120 s, respectively (all p < 0.001). Similarly, speed metrics also improved the prediction of handgrip strength: AUC increase from 0.669 (no speed metrics) to 0.696, 0.696 and 0.691 for the 95th percentile of individual's gait speed for bout durations < 30, 30-120 and > 120 s, respectively (all p < 0.001). Forward stepwise regression showed that the 95th percentile speed of gait bouts with medium duration (30-120 s) to be the best predictor for both conditions. The study provides evidence that real-world gait speed can be estimated using a wrist-worn wearable system, and can be used as reliable indicator of age-related functional decline.
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Affiliation(s)
- Abolfazl Soltani
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Nazanin Abolhassani
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Kamiar Aminian
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Peter Vollenweider
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Anisoara Paraschiv-Ionescu
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
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Ko ST, Asplund F, Zeybek B. A Scoping Review of Pressure Measurements in Prosthetic Sockets of Transfemoral Amputees during Ambulation: Key Considerations for Sensor Design. SENSORS 2021; 21:s21155016. [PMID: 34372253 PMCID: PMC8347332 DOI: 10.3390/s21155016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/11/2021] [Accepted: 07/14/2021] [Indexed: 02/05/2023]
Abstract
Sensor systems to measure pressure at the stump–socket interface of transfemoral amputees are receiving increasing attention as they allow monitoring to evaluate patient comfort and socket fit. However, transfemoral amputees have many unique characteristics, and it is unclear whether existing research on sensor systems take these sufficiently into account or if it is conducted in ways likely to lead to substantial breakthroughs. This investigation addresses these concerns through a scoping review to profile research regarding sensors in transfemoral sockets with the aim of advancing and improving prosthetic socket design, comfort and fit for transfemoral amputees. Publications found from searching four scientific databases were screened, and 17 papers were found relating to the aim of this review. After quality assessment, 12 articles were finally selected for analysis. Three main contributions are provided: a de facto methodology for experimental studies on the implications of intra-socket pressure sensor use for transfemoral amputees; the suggestion that associated sensor design breakthroughs would be more likely if pressure sensors were developed in close combination with other types of sensors and in closer cooperation with those in possession of an in-depth domain knowledge in prosthetics; and that this research would be facilitated by increased interdisciplinary cooperation and open research data generation.
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Affiliation(s)
- Siu-Teing Ko
- Research and Innovation, Össur, 110 Reykjavík, Iceland
- Correspondence:
| | - Fredrik Asplund
- Department of Machine Design, KTH Royal Institute of Technology, 10044 Stockholm, Sweden;
| | - Begum Zeybek
- Healthcare Innovation Centre, School of Health and Life Sciences, Teesside University, Middlesbrough TS1 3BX, UK;
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The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. SENSORS 2021; 21:s21144808. [PMID: 34300546 PMCID: PMC8309920 DOI: 10.3390/s21144808] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/05/2021] [Accepted: 07/08/2021] [Indexed: 12/28/2022]
Abstract
Gait, balance, and coordination are important in the development of chronic disease, but the ability to accurately assess these in the daily lives of patients may be limited by traditional biased assessment tools. Wearable sensors offer the possibility of minimizing the main limitations of traditional assessment tools by generating quantitative data on a regular basis, which can greatly improve the home monitoring of patients. However, these commercial sensors must be validated in this context with rigorous validation methods. This scoping review summarizes the state-of-the-art between 2010 and 2020 in terms of the use of commercial wearable devices for gait monitoring in patients. For this specific period, 10 databases were searched and 564 records were retrieved from the associated search. This scoping review included 70 studies investigating one or more wearable sensors used to automatically track patient gait in the field. The majority of studies (95%) utilized accelerometers either by itself (N = 17 of 70) or embedded into a device (N = 57 of 70) and/or gyroscopes (51%) to automatically monitor gait via wearable sensors. All of the studies (N = 70) used one or more validation methods in which “ground truth” data were reported. Regarding the validation of wearable sensors, studies using machine learning have become more numerous since 2010, at 17% of included studies. This scoping review highlights the current state of the ability of commercial sensors to enhance traditional methods of gait assessment by passively monitoring gait in daily life, over long periods of time, and with minimal user interaction. Considering our review of the last 10 years in this field, machine learning approaches are algorithms to be considered for the future. These are in fact data-based approaches which, as long as the data collected are numerous, annotated, and representative, allow for the training of an effective model. In this context, commercial wearable sensors allowing for increased data collection and good patient adherence through efforts of miniaturization, energy consumption, and comfort will contribute to its future success.
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Corrà MF, Atrsaei A, Sardoreira A, Hansen C, Aminian K, Correia M, Vila-Chã N, Maetzler W, Maia L. Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson's Disease. SENSORS 2021; 21:s21123974. [PMID: 34207565 PMCID: PMC8229328 DOI: 10.3390/s21123974] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/31/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022]
Abstract
Accurate assessment of Parkinson's disease (PD) ON and OFF states in the usual environment is essential for tailoring optimal treatments. Wearables facilitate measurements of gait in novel and unsupervised environments; however, differences between unsupervised and in-laboratory measures have been reported in PD. We aimed to investigate whether unsupervised gait speed discriminates medication states and which supervised tests most accurately represent home performance. In-lab gait speeds from different gait tasks were compared to home speeds of 27 PD patients at ON and OFF states using inertial sensors. Daily gait speed distribution was expressed in percentiles and walking bout (WB) length. Gait speeds differentiated ON and OFF states in the lab and the home. When comparing lab with home performance, ON assessments in the lab showed moderate-to-high correlations with faster gait speeds in unsupervised environment (r = 0.69; p < 0.001), associated with long WB. OFF gait assessments in the lab showed moderate correlation values with slow gait speeds during OFF state at home (r = 0.56; p = 0.004), associated with short WB. In-lab and daily assessments of gait speed with wearables capture additional integrative aspects of PD, reflecting different aspects of mobility. Unsupervised assessment using wearables adds complementary information to the clinical assessment of motor fluctuations in PD.
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Affiliation(s)
- Marta Francisca Corrà
- Abel Salazar Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313 Porto, Portugal; (M.C.); (L.M.)
- University Hospital Santo Antonio of Porto (CHUP), 4099-001 Porto, Portugal; (A.S.); (N.V.-C.)
- Correspondence:
| | - Arash Atrsaei
- Laboratory of Movement Analysis and Measurement, Swiss Federal Institute of Technology in Lausanne (EPFL), 1015 Lausanne, Switzerland; (A.A.); (K.A.)
| | - Ana Sardoreira
- University Hospital Santo Antonio of Porto (CHUP), 4099-001 Porto, Portugal; (A.S.); (N.V.-C.)
| | - Clint Hansen
- Department of Neurology, Christian-Albrechts-University, 24118 Kiel, Germany; (C.H.); (W.M.)
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Swiss Federal Institute of Technology in Lausanne (EPFL), 1015 Lausanne, Switzerland; (A.A.); (K.A.)
| | - Manuel Correia
- Abel Salazar Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313 Porto, Portugal; (M.C.); (L.M.)
- University Hospital Santo Antonio of Porto (CHUP), 4099-001 Porto, Portugal; (A.S.); (N.V.-C.)
| | - Nuno Vila-Chã
- University Hospital Santo Antonio of Porto (CHUP), 4099-001 Porto, Portugal; (A.S.); (N.V.-C.)
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts-University, 24118 Kiel, Germany; (C.H.); (W.M.)
| | - Luís Maia
- Abel Salazar Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313 Porto, Portugal; (M.C.); (L.M.)
- University Hospital Santo Antonio of Porto (CHUP), 4099-001 Porto, Portugal; (A.S.); (N.V.-C.)
- Institute for Research and Innovation in Health (i3s), University of Porto, 4200-135 Porto, Portugal
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Integrating a Potentiometer into a Knee Brace Shows High Potential for Continuous Knee Motion Monitoring. SENSORS 2021; 21:s21062150. [PMID: 33808554 PMCID: PMC8003398 DOI: 10.3390/s21062150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/09/2021] [Accepted: 03/16/2021] [Indexed: 12/23/2022]
Abstract
Continuous monitoring of knee motion can provide deep insights into patients' rehabilitation status after knee injury and help to better identify their individual therapeutic needs. Potentiometers have been identified as one possible sensor type for continuous monitoring of knee motion. However, to verify their use in monitoring real-life environments, further research is needed. We aimed to validate a potentiometer-embedded knee brace to measure sagittal knee kinematics during various daily activities, as well as to assess its potential to continuously monitor knee motion. To this end, the sagittal knee motion of 32 healthy subjects was recorded simultaneously by an instrumented knee brace and an optoelectronic reference system during activities of daily living to assess the agreement between these two measurement systems. To evaluate the potentiometer's behavior during continuous monitoring, knee motion was continuously recorded in a subgroup (n = 9) who wore the knee brace over the course of a day. Our results show a strong agreement between the instrumented knee brace and reference system across all investigated activities as well as stable sensor behavior during continuous tracking. The presented potentiometer-based sensor system demonstrates strong potential as a device for measuring sagittal knee motion during daily activities as well as for continuous knee motion monitoring.
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28
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Gait speed in clinical and daily living assessments in Parkinson's disease patients: performance versus capacity. NPJ Parkinsons Dis 2021; 7:24. [PMID: 33674597 PMCID: PMC7935857 DOI: 10.1038/s41531-021-00171-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/25/2021] [Indexed: 01/31/2023] Open
Abstract
Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions provides the actual performance of the patient. The goal of this study was to investigate objectively under what conditions during daily activities, patients perform as well as or better than in the clinic. To this end, we recruited 27 Parkinson's disease (PD) patients and measured their gait speed by inertial measurement units through several walking tests in the clinic as well as their daily activities at home. By fitting a bimodal Gaussian model to their gait speed distribution, we found that on average, patients had similar modes in the clinic and during daily activities. Furthermore, we observed that the number of medication doses taken throughout the day had a moderate correlation with the difference between clinic and home. Performing a cycle-by-cycle analysis on gait speed during the home assessment, overall only about 3% of the strides had equal or greater gait speeds than the patients' capacity in the clinic. These strides were during long walking bouts (>1 min) and happened before noon, around 26 min after medication intake, reaching their maximum occurrence probability 3 h after Levodopa intake. These results open the possibility of better control of medication intake in PD by considering both functional capacity and continuous monitoring of gait speed during real-life conditions.
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Shah VV, McNames J, Mancini M, Carlson-Kuhta P, Spain RI, Nutt JG, El-Gohary M, Curtze C, Horak FB. Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls. J Neuroeng Rehabil 2020; 17:159. [PMID: 33261625 PMCID: PMC7708140 DOI: 10.1186/s12984-020-00781-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/25/2020] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND AND PURPOSE Recent findings suggest that a gait assessment at a discrete moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a step towards better understanding gait during daily life in neurological populations, we compared gait measures that best discriminated people with multiple sclerosis (MS) and people with Parkinson's Disease (PD) from their respective, age-matched, healthy control subjects (MS-Ctl, PD-Ctl) in laboratory tests versus a week of daily life monitoring. METHODS We recruited 15 people with MS (age mean ± SD: 49 ± 10 years), 16 MS-Ctl (45 ± 11 years), 16 people with idiopathic PD (71 ± 5 years), and 15 PD-Ctl (69 ± 7 years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory followed by 7 days during daily life. Mann-Whitney U test and area under the curve (AUC) compared differences between PD and PD-Ctl, and between MS and MS-Ctl in the laboratory and in daily life. RESULTS Participants wore sensors for 60-68 h in daily life. Measures that best discriminated gait characteristics in people with MS and PD from their respective control groups were different between the laboratory gait test and a week of daily life. Specifically, the toe-off angle best discriminated MS versus MS-Ctl in the laboratory (AUC [95% CI] = 0.80 [0.63-0.96]) whereas gait speed in daily life (AUC = 0.84 [0.69-1.00]). In contrast, the lumbar coronal range of motion best discriminated PD versus PD-Ctl in the laboratory (AUC = 0.78 [0.59-0.96]) whereas foot-strike angle in daily life (AUC = 0.84 [0.70-0.98]). AUCs were larger in daily life compared to the laboratory. CONCLUSIONS Larger AUC for daily life gait measures compared to the laboratory gait measures suggest that daily life monitoring may be more sensitive to impairments from neurological disease, but each neurological disease may require different gait outcome measures.
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Affiliation(s)
- Vrutangkumar V Shah
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA.
| | - James McNames
- Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA
- APDM Wearable Technologies, Portland, OR, USA
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | - Patricia Carlson-Kuhta
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | - Rebecca I Spain
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
- Veterans Affairs Portland Health Care System, Portland, OR, USA
| | - John G Nutt
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
| | | | - Carolin Curtze
- Department of Biomechanics, University of Nebraska At Omaha, Omaha, NE, USA
| | - Fay B Horak
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, USA
- APDM Wearable Technologies, Portland, OR, USA
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Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy. SENSORS 2020; 20:s20205861. [PMID: 33081346 PMCID: PMC7589543 DOI: 10.3390/s20205861] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 01/06/2023]
Abstract
The current lack of adapted performance metrics leads clinicians to focus on what children with cerebral palsy (CP) do in a clinical setting, despite the ongoing debate on whether capacity (what they do at best) adequately reflects performance (what they do in daily life). Our aim was to measure these children’s habitual physical activity (PA) and gross motor capacity and investigate their relationship. Using five synchronized inertial measurement units (IMU) and algorithms adapted to this population, we computed 22 PA states integrating the type (e.g., sitting, walking, etc.), duration, and intensity of PA. Their temporal sequence was visualized with a PA barcode from which information about pattern complexity and the time spent in each of the six simplified PA states (PAS; considering PA type and duration, but not intensity) was extracted and compared to capacity. Results of 25 children with CP showed no strong association between motor capacity and performance, but a certain level of motor capacity seems to be a prerequisite for the achievement of higher PAS. Our multidimensional performance measurement provides a new method of PA assessment in this population, with an easy-to-understand visual output (barcode) and objective data for clinical and scientific use.
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Shah VV, McNames J, Harker G, Mancini M, Carlson-Kuhta P, Nutt JG, El-Gohary M, Curtze C, Horak FB. Effect of Bout Length on Gait Measures in People with and without Parkinson's Disease during Daily Life. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5769. [PMID: 33053703 PMCID: PMC7601493 DOI: 10.3390/s20205769] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 09/30/2020] [Accepted: 10/09/2020] [Indexed: 01/06/2023]
Abstract
Although the use of wearable technology to characterize gait disorders in daily life is increasing, there is no consensus on which specific gait bout length should be used to characterize gait. Clinical trialists using daily life gait quality as study outcomes need to understand how gait bout length affects the sensitivity and specificity of measures to discriminate pathological gait as well as the reliability of gait measures across gait bout lengths. We investigated whether Parkinson's disease (PD) affects how gait characteristics change as bout length changes, and how gait bout length affects the reliability and discriminative ability of gait measures to identify gait impairments in people with PD compared to neurotypical Old Adults (OA). We recruited 29 people with PD and 20 neurotypical OA of similar age for this study. Subjects wore 3 inertial sensors, one on each foot and one over the lumbar spine all day, for 7 days. To investigate which gait bout lengths should be included to extract gait measures, we determined the range of gait bout lengths available across all subjects. To investigate if the effect of bout length on each gait measure is similar or not between subjects with PD and OA, we used a growth curve analysis. For reliability and discriminative ability of each gait measure as a function of gait bout length, we used the intraclass correlation coefficient (ICC) and area under the curve (AUC), respectively. Ninety percent of subjects walked with a bout length of less than 53 strides during the week, and the majority (>50%) of gait bouts consisted of less than 12 strides. Although bout length affected all gait measures, the effects depended on the specific measure and sometimes differed for PD versus OA. Specifically, people with PD did not increase/decrease cadence and swing duration with bout length in the same way as OA. ICC and AUC characteristics tended to be larger for shorter than longer gait bouts. Our findings suggest that PD interferes with the scaling of cadence and swing duration with gait bout length. Whereas control subjects gradually increased cadence and decreased swing duration as bout length increased, participants with PD started with higher than normal cadence and shorter than normal stride duration for the smallest bouts, and cadence and stride duration changed little as bout length increased, so differences between PD and OA disappeared for the longer bout lengths. Gait measures extracted from shorter bouts are more common, more reliable, and more discriminative, suggesting that shorter gait bouts should be used to extract potential digital biomarkers for people with PD.
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Affiliation(s)
- Vrutangkumar V. Shah
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
| | - James McNames
- Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97207, USA;
| | - Graham Harker
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
| | - Patricia Carlson-Kuhta
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
| | - John G. Nutt
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
| | | | - Carolin Curtze
- Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182, USA;
| | - Fay B. Horak
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA; (G.H.); (M.M.); (P.C.-K.); (J.G.N.); (F.B.H.)
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Jung S, Michaud M, Oudre L, Dorveaux E, Gorintin L, Vayatis N, Ricard D. The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5625. [PMID: 33019633 PMCID: PMC7583905 DOI: 10.3390/s20195625] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 09/26/2020] [Accepted: 09/28/2020] [Indexed: 12/17/2022]
Abstract
This article presents an overview of fifty-eight articles dedicated to the evaluation of physical activity in free-living conditions using wearable motion sensors. This review provides a comprehensive summary of the technical aspects linked to sensors (types, number, body positions, and technical characteristics) as well as a deep discussion on the protocols implemented in free-living conditions (environment, duration, instructions, activities, and annotation). Finally, it presents a description and a comparison of the main algorithms and processing tools used for assessing physical activity from raw signals.
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Affiliation(s)
- Sylvain Jung
- Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; (S.J.); (M.M.); (N.V.); (D.R.)
- Université de Paris, CNRS, Centre Borelli, F-75005 Paris, France
- Université Sorbonne Paris Nord, L2TI, UR 3043, F-93430 Villetaneuse, France
- ENGIE Lab CRIGEN, F-93249 Stains, France; (E.D.); (L.G.)
| | - Mona Michaud
- Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; (S.J.); (M.M.); (N.V.); (D.R.)
- Université de Paris, CNRS, Centre Borelli, F-75005 Paris, France
| | - Laurent Oudre
- Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; (S.J.); (M.M.); (N.V.); (D.R.)
- Université de Paris, CNRS, Centre Borelli, F-75005 Paris, France
- Université Sorbonne Paris Nord, L2TI, UR 3043, F-93430 Villetaneuse, France
| | - Eric Dorveaux
- ENGIE Lab CRIGEN, F-93249 Stains, France; (E.D.); (L.G.)
| | - Louis Gorintin
- ENGIE Lab CRIGEN, F-93249 Stains, France; (E.D.); (L.G.)
| | - Nicolas Vayatis
- Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; (S.J.); (M.M.); (N.V.); (D.R.)
- Université de Paris, CNRS, Centre Borelli, F-75005 Paris, France
| | - Damien Ricard
- Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; (S.J.); (M.M.); (N.V.); (D.R.)
- Université de Paris, CNRS, Centre Borelli, F-75005 Paris, France
- Service de Neurologie, Service de Santé des Armées, Hôpital d’Instruction des Armées Percy, F-92190 Clamart, France
- Ecole du Val-de-Grâce, Ecole de Santé des Armées, F-75005 Paris, France
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Taborri J, Studer V, Grossi P, Brambilla L, Patanè F, Ferrò MT, Mantegazza R, Rossi S. Reliability and Repeatability Analysis of Indices to Measure Gait Deterioration in MS Patients during Prolonged Walking. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5063. [PMID: 32899946 PMCID: PMC7570495 DOI: 10.3390/s20185063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 11/23/2022]
Abstract
Gait deterioration caused by prolonged walking represents one of the main consequences of multiple sclerosis (MS). This study aims at proposing quantitative indices to measure the gait deterioration effects. The experimental protocol consisted in a 6-min walking test and it involved nine patients with MS and twenty-six healthy subjects. Pathology severity was assessed through the Expanded Disability Status Scale. Seven inertial units were used to gather lower limb kinematics. Gait variability and asymmetry were assessed by coefficient of variation (CoV) and symmetry index (SI), respectively. The evolution of ROM (range of motion), CoV, and SI was computed analyzing data divided into six 60-s subgroups. Maximum difference among subgroups and the difference between the first minute and the remaining five were computed. The indices were analyzed for intra- and inter-day reliability and repeatability. Correlation with clinical scores was also evaluated. Good to excellent reliability was found for all indices. The computed standard deviations allowed us to affirm the good repeatability of the indices. The outcomes suggested walking-related fatigue leads to an always more variable kinematics in MS, in terms of changes in ROM, increase of variability and asymmetry. The hip asymmetry strongly correlated with the clinical disability.
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Affiliation(s)
- Juri Taborri
- Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy;
| | - Valeria Studer
- Multiple Sclerosis Center, Neurology Department, Martini Hospital, 10121 Turin, Italy;
| | - Paola Grossi
- Neuroimmunology Center for Multiple Sclerosis, Cerebrovascular Department, ASST Crema, 52242 Crema, Italy; (P.G.); (M.T.F.)
| | - Laura Brambilla
- Operating Units of Autoimmune and Neuromuscular Diseases, IRCCS Foundation Neurological Institute Carlo Besta, 20133 Milano, Italy; (L.B.); (R.M.)
| | - Fabrizio Patanè
- Department of Engineering, Mech. Meas. and Microelectr.lab (M3lab), University Niccolò Cusano, 00166 Rome, Italy;
| | - Maria Teresa Ferrò
- Neuroimmunology Center for Multiple Sclerosis, Cerebrovascular Department, ASST Crema, 52242 Crema, Italy; (P.G.); (M.T.F.)
| | - Renato Mantegazza
- Operating Units of Autoimmune and Neuromuscular Diseases, IRCCS Foundation Neurological Institute Carlo Besta, 20133 Milano, Italy; (L.B.); (R.M.)
| | - Stefano Rossi
- Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy;
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Zhou L, Fischer E, Tunca C, Brahms CM, Ersoy C, Granacher U, Arnrich B. How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications. SENSORS 2020; 20:s20154090. [PMID: 32707987 PMCID: PMC7435687 DOI: 10.3390/s20154090] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/12/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
Inertial measurement units (IMUs) are commonly used for localization or movement tracking in pervasive healthcare-related studies, and gait analysis is one of the most often studied topics using IMUs. The increasing variety of commercially available IMU devices offers convenience by combining the sensor modalities and simplifies the data collection procedures. However, selecting the most suitable IMU device for a certain use case is increasingly challenging. In this study, guidelines for IMU selection are proposed. In particular, seven IMUs were compared in terms of their specifications, data collection procedures, and raw data quality. Data collected from the IMUs were then analyzed by a gait analysis algorithm. The difference in accuracy of the calculated gait parameters between the IMUs could be used to retrace the issues in raw data, such as acceleration range or sensor calibration. Based on our algorithm, we were able to identify the best-suited IMUs for our needs. This study provides an overview of how to select the IMUs based on the area of study with concrete examples, and gives insights into the features of seven commercial IMUs using real data.
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Affiliation(s)
- Lin Zhou
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany;
- Correspondence: (L.Z.); (B.A.)
| | - Eric Fischer
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany;
| | - Can Tunca
- NETLAB, Department of Computer Engineering, Bogazici University, 34342 Istanbul, Turkey; (C.T.); (C.E.)
| | - Clemens Markus Brahms
- Division of Training and Movement Sciences, University of Potsdam, 14469 Potsdam, Germany; (C.M.B.); (U.G.)
| | - Cem Ersoy
- NETLAB, Department of Computer Engineering, Bogazici University, 34342 Istanbul, Turkey; (C.T.); (C.E.)
| | - Urs Granacher
- Division of Training and Movement Sciences, University of Potsdam, 14469 Potsdam, Germany; (C.M.B.); (U.G.)
| | - Bert Arnrich
- Digital Health Center, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany;
- Correspondence: (L.Z.); (B.A.)
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Carcreff L, Gerber CN, Paraschiv-Ionescu A, De Coulon G, Aminian K, Newman CJ, Armand S. Walking Speed of Children and Adolescents With Cerebral Palsy: Laboratory Versus Daily Life. Front Bioeng Biotechnol 2020; 8:812. [PMID: 32766230 PMCID: PMC7381141 DOI: 10.3389/fbioe.2020.00812] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/24/2020] [Indexed: 12/12/2022] Open
Abstract
The purpose of this pilot study was to compare walking speed, an important component of gait, in the laboratory and daily life, in young individuals with cerebral palsy (CP) and with typical development (TD), and to quantify to what extent gait observed in clinical settings compares to gait in real life. Fifteen children, adolescents and young adults with CP (6 GMFCS I, 2 GMFCS II, and 7 GMFCS III) and 14 with TD were included. They wore 4 synchronized inertial sensors on their shanks and thighs while walking at their spontaneous self-selected speed in the laboratory, and then during 2 week-days and 1 weekend day in their daily environment. Walking speed was computed from shank angular velocity signals using a validated algorithm. The median of the speed distributions in the laboratory and daily life were compared at the group and individual levels using Wilcoxon tests and Spearman's correlation coefficients. The corresponding percentile of daily life speed equivalent to the speed in the laboratory was computed and observed at the group level. Daily-life walking speed was significantly lower compared to the laboratory for the CP group (0.91 [0.58-1.23] m/s vs 1.07 [0.73-1.28] m/s, p = 0.015), but not for TD (1.29 [1.24-1.40] m/s vs 1.29 [1.20-1.40] m/s, p = 0.715). Median speeds correlated highly in CP (p < 0.001, rho = 0.89), but not in TD. In children with CP, 60% of the daily life walking activity was at a slower speed than in-laboratory (corresponding percentile = 60). On the contrary, almost 60% of the daily life activity of TD was at a faster speed than in-laboratory (corresponding percentile = 42.5). Nevertheless, highly heterogeneous behaviors were observed within both populations and within subgroups of GMFCS level. At the group level, children with CP tend to under-perform during natural walking as compared to walking in a clinical environment. The heterogeneous behaviors at the individual level indicate that real-life gait performance cannot be directly inferred from in-laboratory capacity. This emphasizes the importance of completing clinical gait analysis with data from daily life, to better understand the overall function of children with CP.
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Affiliation(s)
- Lena Carcreff
- Laboratory of Kinesiology Willy Taillard, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
- Pediatric Neurology and Neurorehabilitation Unit, Department of Pediatrics, Lausanne University Hospital, Lausanne, Switzerland
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Corinna N. Gerber
- Pediatric Neurology and Neurorehabilitation Unit, Department of Pediatrics, Lausanne University Hospital, Lausanne, Switzerland
| | - Anisoara Paraschiv-Ionescu
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Geraldo De Coulon
- Laboratory of Kinesiology Willy Taillard, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
- Pediatric Orthopedics, Geneva University Hospitals, Geneva, Switzerland
| | - Kamiar Aminian
- Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Christopher J. Newman
- Pediatric Neurology and Neurorehabilitation Unit, Department of Pediatrics, Lausanne University Hospital, Lausanne, Switzerland
| | - Stéphane Armand
- Laboratory of Kinesiology Willy Taillard, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
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