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Diller F, Scheuermann G, Wiebel A. Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2024; 30:3121-3134. [PMID: 37015488 DOI: 10.1109/tvcg.2022.3227999] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
When learning a motor skill it is helpful to get corrective feedback from an instructor. This will support the learner to execute the movement correctly. With modern technology, it is possible to provide this feedback via mixed reality. In most cases, this involves visual cues to help the user understand the corrective feedback. We analyzed recent research approaches utilizing visual cues for feedback in mixed reality. The scope of this article is visual feedback for motor skill learning, which involves physical therapy, exercise, rehabilitation etc. While some of the surveyed literature discusses therapeutic effects of the training, this article focuses on visualization techniques. We categorized the literature from a visualization standpoint, including visual cues, technology and characteristics of the feedback. This provided insights into how visual feedback in mixed reality is applied in the literature and how different aspects of the feedback are related. The insights obtained can help to better adjust future feedback systems to the target group and their needs. This article also provides a deeper understanding of the characteristics of the visual cues in general and promotes future, more detailed research on this topic.
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Rossetto F, Mestanza Mattos FG, Gervasoni E, Germanotta M, Pavan A, Cattaneo D, Aprile I, Baglio F. Efficacy of telerehabilitation with digital and robotic tools for the continuity of care of people with chronic neurological disorders: The TELENEURO@REHAB protocol for a randomized controlled trial. Digit Health 2024; 10:20552076241228928. [PMID: 38465294 PMCID: PMC10924562 DOI: 10.1177/20552076241228928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 01/09/2024] [Indexed: 03/12/2024] Open
Abstract
Context Chronic Neurological Disorders (CNDs) are among the leading causes of disability worldwide, and their contribution to the overall need for rehabilitation is increasing. Therefore, the identification of new digital solutions to ensure early and continuous care is mandatory. Objective This protocol proposes to test the usability, acceptability, safety, and efficacy of Telerehabilitation (TR) protocols with digital and robotic tools in reducing the perceived level of disability in CNDs including Parkinson's Disease (PD), Multiple Sclerosis (MS), and post-stroke patients. Design Setting and Subjects This single-blinded, multi-site, randomized, two-treatment arms controlled clinical trial will involve PD (N = 30), MS (N = 30), and post-stroke (N = 30). Each participant will be randomized (1:1) to the experimental group (20 sessions of motor telerehabilitation with digital and robotic tools) or the active control group (20 home-based motor rehabilitation sessions according to the usual care treatment). Primary and secondary outcome measures will be obtained at the baseline (T0), post-intervention (T1, 5 weeks after baseline), and at follow-up (T2, 2 months after treatment). Main Outcome Measures a multifaceted evaluation including quality of life, motor, and clinical/functional measures will be conducted at each time-point of assessment. The primary outcome measures will be the change in the perceived level of disability as measured by the World Health Organization Disability Assessment Schedule 2.0. Conclusion The implementation of TR protocols will enable a more targeted and effective response to the growing need for rehabilitation linked to CNDs, ensuring accessibility to rehabilitation services from the initial stages of the disease.
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Affiliation(s)
| | | | - Elisa Gervasoni
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan-Florence, Italy
| | | | - Arianna Pavan
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan-Florence, Italy
| | - Davide Cattaneo
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan-Florence, Italy
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Irene Aprile
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan-Florence, Italy
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Zadeh SM, MacDermid J, Johnson J, Birmingham TB, Shafiee E. Applications of wearable sensors in upper extremity MSK conditions: a scoping review. J Neuroeng Rehabil 2023; 20:158. [PMID: 37980497 PMCID: PMC10656914 DOI: 10.1186/s12984-023-01274-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 10/30/2023] [Indexed: 11/20/2023] Open
Abstract
PURPOSE This scoping review uniquely aims to map the current state of the literature on the applications of wearable sensors in people with or at risk of developing upper extremity musculoskeletal (UE-MSK) conditions, considering that MSK conditions or disorders have the highest rate of prevalence among other types of conditions or disorders that contribute to the need for rehabilitation services. MATERIALS AND METHODS The preferred reporting items for systematic reviews and meta-analysis (PRISMA) extension for scoping reviews guideline was followed in this scoping review. Two independent authors conducted a systematic search of four databases, including PubMed, Embase, Scopus, and IEEEXplore. We included studies that have applied wearable sensors on people with or at risk of developing UE-MSK condition published after 2010. We extracted study designs, aims, number of participants, sensor placement locations, sensor types, and number, and outcome(s) of interest from the included studies. The overall findings of our scoping review are presented in tables and diagrams to map an overview of the existing applications. RESULTS The final review encompassed 80 studies categorized into clinical population (31 studies), workers' population (31 studies), and general wearable design/performance studies (18 studies). Most were observational, with 2 RCTs in workers' studies. Clinical studies focused on UE-MSK conditions like rotator cuff tear and arthritis. Workers' studies involved industrial workers, surgeons, farmers, and at-risk healthy individuals. Wearable sensors were utilized for objective motion assessment, home-based rehabilitation monitoring, daily activity recording, physical risk characterization, and ergonomic assessments. IMU sensors were prevalent in designs (84%), with a minority including sEMG sensors (16%). Assessment applications dominated (80%), while treatment-focused studies constituted 20%. Home-based applicability was noted in 21% of the studies. CONCLUSION Wearable sensor technologies have been increasingly applied to the health care field. These applications include clinical assessments, home-based treatments of MSK disorders, and monitoring of workers' population in non-standardized areas such as work environments. Assessment-focused studies predominate over treatment studies. Additionally, wearable sensor designs predominantly use IMU sensors, with a subset of studies incorporating sEMG and other sensor types in wearable platforms to capture muscle activity and inertial data for the assessment or rehabilitation of MSK conditions.
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Affiliation(s)
- Sohrob Milani Zadeh
- Biomedical Engineering, Physical Therapy, Western University, London, ON, Canada.
| | - Joy MacDermid
- Physical Therapy and Surgery, Western University, London, ON, Canada
- Clinical Research Lab, Hand and Upper Limb Center, St. Joseph's Health Center, London, ON, Canada
- Rehabilitation Science McMaster University, Hamilton, ON, Canada
| | - James Johnson
- Roth-McFarlane Hand and Upper Limb Centre, St. Joseph's Health Care, London, ON, Canada
| | - Trevor B Birmingham
- Biomedical Engineering, Physical Therapy, Western University, London, ON, Canada
| | - Erfan Shafiee
- School of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada
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Favre J, Cantaloube A, Jolles BM. Rehabilitation for Musculoskeletal Disorders: The Emergence of Serious Games and the Promise of Personalized Versions Using Artificial Intelligence. J Clin Med 2023; 12:5310. [PMID: 37629350 PMCID: PMC10455669 DOI: 10.3390/jcm12165310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
According to the World Health Organization (WHO), musculoskeletal conditions are among the most common health problems, affecting approximately 1 [...].
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Affiliation(s)
- Julien Favre
- Swiss BioMotion Lab, Lausanne University Hospital, University of Lausanne (CHUV-UNIL), CH-1011 Lausanne, Switzerland
- The Sense Innovation and Research Center, CH-1007 Lausanne, Switzerland
| | - Alexis Cantaloube
- Swiss BioMotion Lab, Lausanne University Hospital, University of Lausanne (CHUV-UNIL), CH-1011 Lausanne, Switzerland
| | - Brigitte M. Jolles
- Swiss BioMotion Lab, Lausanne University Hospital, University of Lausanne (CHUV-UNIL), CH-1011 Lausanne, Switzerland
- Institute of Electrical and Micro Engineering, Ecole Polytechnique Fédérale Lausanne (EPFL), CH-1015 Lausanne, Switzerland
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Cunha B, Ferreira R, Sousa ASP. Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. SENSORS (BASEL, SWITZERLAND) 2023; 23:7100. [PMID: 37631637 PMCID: PMC10459225 DOI: 10.3390/s23167100] [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: 06/17/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023]
Abstract
Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs.
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Affiliation(s)
- Bruno Cunha
- Center for Rehabilitation Research—Human Movement System (Re)habilitation Area, Department of Physiotherapy, School of Health-Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal;
| | - Ricardo Ferreira
- Institute for Systems and Computer Engineering, Technology and Science—Telecommunications and Multimedia Centre, FEUP, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal;
| | - Andreia S. P. Sousa
- Center for Rehabilitation Research—Human Movement System (Re)habilitation Area, Department of Physiotherapy, School of Health-Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal;
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Arntz A, Weber F, Handgraaf M, Lällä K, Korniloff K, Murtonen KP, Chichaeva J, Kidritsch A, Heller M, Sakellari E, Athanasopoulou C, Lagiou A, Tzonichaki I, Salinas-Bueno I, Martínez-Bueso P, Velasco-Roldán O, Schulz RJ, Grüneberg C. Technologies in Home-Based Digital Rehabilitation: Scoping Review. JMIR Rehabil Assist Technol 2023; 10:e43615. [PMID: 37253381 PMCID: PMC10415951 DOI: 10.2196/43615] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 03/10/2023] [Accepted: 05/25/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR. OBJECTIVE In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR. METHODS The scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR. RESULTS A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies. CONCLUSIONS Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.
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Affiliation(s)
- Angela Arntz
- Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany
- Faculty of Human Sciences, University of Cologne, Cologne, Germany
| | - Franziska Weber
- Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany
- Department of Rehabilitation, Physiotherapy Science & Sports, University Medical Center Utrecht, Utrecht, Netherlands
| | - Marietta Handgraaf
- Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany
| | - Kaisa Lällä
- Institute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland
| | - Katariina Korniloff
- Institute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland
| | - Kari-Pekka Murtonen
- Institute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland
| | - Julija Chichaeva
- Institute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland
| | - Anita Kidritsch
- Institute of Health Sciences, St. Pölten University of Applied Sciences, St. Pölten, Austria
| | - Mario Heller
- Department of Media & Digital Technologies, St. Pölten University of Applied Sciences, St. Pölten, Austria
| | - Evanthia Sakellari
- Department of Public and Community Health, Laboratory of Hygiene and Epidemiology, University of West Attica, Athens, Greece
| | | | - Areti Lagiou
- Department of Public and Community Health, Laboratory of Hygiene and Epidemiology, University of West Attica, Athens, Greece
| | - Ioanna Tzonichaki
- Department of Occupational Therapy, University of West Attica, Athens, Greece
| | - Iosune Salinas-Bueno
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Pau Martínez-Bueso
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Olga Velasco-Roldán
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
| | | | - Christian Grüneberg
- Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany
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Tiryaki P, Çelik D, Bilsel K, Erşen A. Effectiveness of Exercises With Electromyographic Biofeedback in Conservative Treatment of Massive Rotator Cuff Tears: A Randomized Controlled Study. Am J Phys Med Rehabil 2023; 102:419-426. [PMID: 36166658 DOI: 10.1097/phm.0000000000002111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of the study is to investigate the effectiveness of a rehabilitation program with electromyographic biofeedback compared with the control group on patients with massive rotator cuff tear. DESIGN Forty-six adults with massive rotator cuff tears, randomly assigned to 2 groups (23 electromyographic biofeedback group vs. 23 control group). The electromyographic biofeedback group (experimental group) performed the exercises under the guidance of electromyographic biofeedback, unlike the control group. All patients underwent a 45-minute training session a day, 3 times a week over a 6-wk duration, and followed up until 1-year. The outcome measures were American Shoulder and Elbow score, shoulder flexion strength, shoulder range of motion, Numeric Pain Rating Scale, and Global Rating of Change Scale. RESULTS Compared with the control group, the electromyographic biofeedback group demonstrated a significant change in shoulder flexion strength and patient satisfaction from baseline to 6 wks (posttraining) and from baseline to 12-mo follow-up ( F = 4.671, P = 0.005). There were significant improvements in within groups statistics for American Shoulder and Elbow score, shoulder flexion strength, shoulder range of motion, and Numeric Pain Rating Scale in both groups ( P < 0.05). CONCLUSIONS The results demonstrate that deltoid-focused structured rehabilitation program combined with electromyographic biofeedback can be used to increase shoulder flexion strength and patient satisfaction in conservative treatment of massive rotator cuff tear.
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Affiliation(s)
- Pelin Tiryaki
- From the Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Yalova University, Yalova, Turkey (PT); Department of Physiotherapy and Rehabilitation, Institute of Graduate Studies, Istanbul University-Cerrahpasa, Istanbul, Turkey (PT); Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Istanbul University-Cerrahpasa, Istanbul, Turkey (DÇ); Department of Orthopaedics and Traumatology, Faculty of Medicine, Bezmialem University, Istanbul, Turkey (KB); and Department of Orthopaedics and Traumatology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey (AE)
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Kantan PR, Dahl S, Jørgensen HR, Khadye C, Spaich EG. Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training. SENSORS (BASEL, SWITZERLAND) 2023; 23:3964. [PMID: 37112305 PMCID: PMC10145885 DOI: 10.3390/s23083964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/31/2023] [Accepted: 04/05/2023] [Indexed: 06/19/2023]
Abstract
Auditory feedback has earlier been explored as a tool to enhance patient awareness of gait kinematics during rehabilitation. In this study, we devised and tested a novel set of concurrent feedback paradigms on swing phase kinematics in hemiparetic gait training. We adopted a user-centered design approach, where kinematic data recorded from 15 hemiparetic patients was used to design three feedback algorithms (wading sounds, abstract, musical) based on filtered gyroscopic data from four inexpensive wireless inertial units. The algorithms were tested (hands-on) by a focus group of five physiotherapists. They recommended that the abstract and musical algorithms be discarded due to sound quality and informational ambiguity. After modifying the wading algorithm (as per their feedback), we conducted a feasibility test involving nine hemiparetic patients and seven physiotherapists, where variants of the algorithm were applied to a conventional overground training session. Most patients found the feedback meaningful, enjoyable to use, natural-sounding, and tolerable for the typical training duration. Three patients exhibited immediate improvements in gait quality when the feedback was applied. However, minor gait asymmetries were found to be difficult to perceive in the feedback, and there was variability in receptiveness and motor change among the patients. We believe that our findings can advance current research in inertial sensor-based auditory feedback for motor learning enhancement during neurorehabilitation.
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Affiliation(s)
- Prithvi Ravi Kantan
- Department of Architecture, Design and Media Technology, Aalborg University, 2450 Copenhagen, Denmark
| | - Sofia Dahl
- Department of Architecture, Design and Media Technology, Aalborg University, 2450 Copenhagen, Denmark
| | | | - Chetali Khadye
- Division of Population Health and Genomics, University of Dundee, Dundee DD1 4HN, Scotland, UK
| | - Erika G. Spaich
- Department of Health Science and Technology, Aalborg University, 9260 Gistrup, Denmark
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Basla C, Hungerbühler I, Meyer JT, Wolf P, Riener R, Xiloyannis M. Usability of an exosuit in domestic and community environments. J Neuroeng Rehabil 2022; 19:131. [PMID: 36457037 PMCID: PMC9714034 DOI: 10.1186/s12984-022-01103-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/25/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Exosuits have been shown to reduce metabolic cost of walking and to increase gait performance when used in clinical environment. Currently, these devices are transitioning to private use to facilitate independent training at home and in the community. However, their acceptance in unsupervised settings remains unclear. Therefore, the aim of this study was to investigate end-user perspectives and the adoption of an exosuit in domestic and community settings. METHODS We conducted a mixed-method study to investigate the usability and user experience of an exosuit, the Myosuit. We leveraged on a cohort of seven expert users, who had the device available at home for at least 28 days. Each participant completed two standardized questionnaires (SUS and QUEST) and one personalized, custom questionnaire. Furthermore, a semi-structured interview with each participant was recorded, verbatim transcribed and analyzed using descriptive thematic analysis. Data collected from device sensors quantified the frequency of use. RESULTS A mean SUS score of 75.4 out of 100 was reported. Five participants scored above the threshold for above-average usability. Participants also expressed high satisfaction with most of the technical features in the QUEST with an average score of 4.1 (3.86-4.71) out of 5. Participants used the Myosuit mainly for walking outside and exercising at home. However, the frequency of use did not meet the recommendations for physical activity established by the World Health Organization. Five participants used the Myosuit approximately once per week. The two other participants integrated the device in their daily life and used the Myosuit to a greater extent (approx. five times per week). Major factors that prevented an extensive use of the technology were: (i) difficulties in donning that led to (ii) lack of independence and (iii) lack of motivation in exercising. CONCLUSIONS Although usable for various activities and well perceived, the adoption of the exosuit in domestic and community settings is yet limited. Use outside the clinic poses further challenges that should be considered when developing new wearable robots. Primarily, design should meet the users' claim for independence and increased adjustability of the device.
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Affiliation(s)
- Chiara Basla
- grid.5801.c0000 0001 2156 2780Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland
| | - Irina Hungerbühler
- grid.5801.c0000 0001 2156 2780Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland
| | - Jan Thomas Meyer
- grid.5801.c0000 0001 2156 2780Rehabilitation Engineering Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland
| | - Peter Wolf
- grid.5801.c0000 0001 2156 2780Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland
| | - Robert Riener
- grid.5801.c0000 0001 2156 2780Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland ,grid.7400.30000 0004 1937 0650Spinal Cord Injury Center, Balgrist University Hospital, Medical Faculty, University of Zürich, Zürich, Switzerland
| | - Michele Xiloyannis
- grid.5801.c0000 0001 2156 2780Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zürich, Zürich, Switzerland
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Hu S, Han J, Rong L, Zong Q, Dai M. Research on user satisfaction of sports and healthcare integration system in post-pandemic era. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-221533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
After COVID-19, some initiatives such as Healthy China, and Smart Living have been widely mentioned. This study explored the factors influencing user satisfaction in sports and healthcare integration services to help system builders and interaction designers better seek opportunities and directions for systems construction. Based on grounded theory method, conducted semi-structured interviews with people who have home exercise needs, and then summarised the influencing factors after coding the raw information level by level. It applied the user experience honeycomb to classify potential variables, used principal component analysis (PCA) to extract representative evaluation indicators as observed variables, and followed the construction of a theoretical model of the satisfaction factors. The structural equation model (SEM) was validated and analyzed to prove its scientific validity and reasonableness. Research showed that the core factors affecting the user experience of sports and healthcare integration system include usefulness, interactivity, usability, credibility, and findability, all of which have a positive and significant impact on user satisfaction. According to the results of empirical analysis, A multidimensional design strategy for sports and healthcare integration system is proposed to provide a reference for improving user satisfaction.
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Affiliation(s)
- Shan Hu
- School of Industrial Design, Hubei University of Technology, Wuhan, Hubei, China
| | - Jialin Han
- School of Industrial Design, Hubei University of Technology, Wuhan, Hubei, China
| | - Lingda Rong
- School of Industrial Design, Hubei University of Technology, Wuhan, Hubei, China
| | - Qiwei Zong
- School of Industrial Design, Hubei University of Technology, Wuhan, Hubei, China
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Proulx CE, Louis Jean MT, Higgins J, Gagnon DH, Dancause N. Somesthetic, Visual, and Auditory Feedback and Their Interactions Applied to Upper Limb Neurorehabilitation Technology: A Narrative Review to Facilitate Contextualization of Knowledge. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:789479. [PMID: 36188924 PMCID: PMC9397809 DOI: 10.3389/fresc.2022.789479] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 01/14/2022] [Indexed: 11/13/2022]
Abstract
Reduced hand dexterity is a common component of sensorimotor impairments for individuals after stroke. To improve hand function, innovative rehabilitation interventions are constantly developed and tested. In this context, technology-based interventions for hand rehabilitation have been emerging rapidly. This paper offers an overview of basic knowledge on post lesion plasticity and sensorimotor integration processes in the context of augmented feedback and new rehabilitation technologies, in particular virtual reality and soft robotic gloves. We also discuss some factors to consider related to the incorporation of augmented feedback in the development of technology-based interventions in rehabilitation. This includes factors related to feedback delivery parameter design, task complexity and heterogeneity of sensory deficits in individuals affected by a stroke. In spite of the current limitations in our understanding of the mechanisms involved when using new rehabilitation technologies, the multimodal augmented feedback approach appears promising and may provide meaningful ways to optimize recovery after stroke. Moving forward, we argue that comparative studies allowing stratification of the augmented feedback delivery parameters based upon different biomarkers, lesion characteristics or impairments should be advocated (e.g., injured hemisphere, lesion location, lesion volume, sensorimotor impairments). Ultimately, we envision that treatment design should combine augmented feedback of multiple modalities, carefully adapted to the specific condition of the individuals affected by a stroke and that evolves along with recovery. This would better align with the new trend in stroke rehabilitation which challenges the popular idea of the existence of an ultimate good-for-all intervention.
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Affiliation(s)
- Camille E. Proulx
- School of Rehabilitation, Faculty of Medecine, Université de Montréal, Montreal, QC, Canada
- Center for Interdisciplinary Research in Rehabilitation of Greater Montreal – Site Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
- *Correspondence: Camille E. Proulx
| | | | - Johanne Higgins
- School of Rehabilitation, Faculty of Medecine, Université de Montréal, Montreal, QC, Canada
- Center for Interdisciplinary Research in Rehabilitation of Greater Montreal – Site Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Dany H. Gagnon
- School of Rehabilitation, Faculty of Medecine, Université de Montréal, Montreal, QC, Canada
- Center for Interdisciplinary Research in Rehabilitation of Greater Montreal – Site Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Numa Dancause
- Department of Neurosciences, Faculty of Medecine, Université de Montréal, Montreal, QC, Canada
- Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage (CIRCA), Université de Montréal, Montreal, QC, Canada
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Mańdziuk M, Krawczyk-Suszek M, Maciejewski R, Bednarski J, Kotyra A, Cyganik W. The Application of Biological Feedback in the Rehabilitation of Patients after Ischemic Stroke. SENSORS 2022; 22:s22051769. [PMID: 35270916 PMCID: PMC8914769 DOI: 10.3390/s22051769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/14/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022]
Abstract
Balance disorders are the main concern for patients after an ischemic stroke. They are caused by an abnormal force on the affected side or paresis, which causes uneven loading and visuospatial disorders. Minimizing the effects of stroke is possible through properly conducted rehabilitation. One of the known ways to achieve this objective is biological feedback. The lack of proper muscle tone on one side of the body is manifested by the uneven pressure of the lower extremities on the ground. The study and control groups were composed of two equal groups of 92 people each, in which the same set of kinesiotherapeutic exercises were applied. Patients in the study group, in addition to standard medical procedures, exercised five days a week on a Balance Trainer for four weeks. The examination and training with the device were recorded on the first day of rehabilitation, as well as after two and four weeks of training. The assessment was performed using the following functional tests and scales: Brunnström, Rankin, Barthel, Ashworth, and VAS. Patients in the control group started exercising on the Balance Trainer two weeks after the first day of rehabilitation using traditional methods. The study results reveal statistically significant reductions in the time the body’s center of gravity (COG) spent in the tacks, outside the tracks and in the COG distance, lower COG excursions in all directions. Post-stroke patients that received biofeedback training presented significantly better results than patients that did not receive such training.
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Affiliation(s)
- Marzena Mańdziuk
- Medical College, University of Information Technology and Management in Rzeszow, 2 Sucharskiego Str., 35-225 Rzeszow, Poland; (M.K.-S.); (W.C.)
- Correspondence:
| | - Marlena Krawczyk-Suszek
- Medical College, University of Information Technology and Management in Rzeszow, 2 Sucharskiego Str., 35-225 Rzeszow, Poland; (M.K.-S.); (W.C.)
| | - Ryszard Maciejewski
- Department of Human Anatomy, Medical University of Lublin, 19 Chodzki Str., 20-093 Lublin, Poland; (R.M.); (J.B.)
| | - Jerzy Bednarski
- Department of Human Anatomy, Medical University of Lublin, 19 Chodzki Str., 20-093 Lublin, Poland; (R.M.); (J.B.)
| | - Andrzej Kotyra
- Department of Electronics and Information Technology, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 38a Nadbystrzycka Str., 20-618 Lublin, Poland;
| | - Weronika Cyganik
- Medical College, University of Information Technology and Management in Rzeszow, 2 Sucharskiego Str., 35-225 Rzeszow, Poland; (M.K.-S.); (W.C.)
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Sellmann A, Wagner D, Holtz L, Eschweiler J, Diers C, Williams S, Disselhorst-Klug C. Detection of Typical Compensatory Movements during Autonomously Performed Exercises Preventing Low Back Pain (LBP). SENSORS (BASEL, SWITZERLAND) 2021; 22:111. [PMID: 35009660 PMCID: PMC8747326 DOI: 10.3390/s22010111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/15/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
With the growing number of people seeking medical advice due to low back pain (LBP), individualised physiotherapeutic rehabilitation is becoming increasingly relevant. Thirty volunteers were asked to perform three typical LBP rehabilitation exercises (Prone-Rocking, Bird-Dog and Rowing) in two categories: clinically prescribed exercise (CPE) and typical compensatory movement (TCM). Three inertial sensors were used to detect the movement of the back during exercise performance and thus generate a dataset that is used to develop an algorithm that detects typical compensatory movements in autonomously performed LBP exercises. The best feature combinations out of 50 derived features displaying the highest capacity to differentiate between CPE and TCM in each exercise were determined. For classifying exercise movements as CPE or TCM, a binary decision tree was trained with the best performing features. The results showed that the trained classifier is able to distinguish CPE from TCM in Bird-Dog, Prone-Rocking and Rowing with up to 97.7% (Head Sensor, one feature), 98.9% (Upper back Sensor, one feature) and 80.5% (Upper back Sensor, two features) using only one sensor. Thus, as a proof-of-concept, the introduced classification models can be used to detect typical compensatory movements in autonomously performed LBP exercises.
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Affiliation(s)
- Asaad Sellmann
- Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, 52074 Aachen, Germany; (D.W.); (L.H.); (S.W.); (C.D.-K.)
| | - Désirée Wagner
- Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, 52074 Aachen, Germany; (D.W.); (L.H.); (S.W.); (C.D.-K.)
| | - Lucas Holtz
- Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, 52074 Aachen, Germany; (D.W.); (L.H.); (S.W.); (C.D.-K.)
| | - Jörg Eschweiler
- Department of Orthopaedics, Trauma and Reconstructive Surgery, RWTH Aachen University Clinic, 52074 Aachen, Germany;
| | | | - Sybele Williams
- Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, 52074 Aachen, Germany; (D.W.); (L.H.); (S.W.); (C.D.-K.)
| | - Catherine Disselhorst-Klug
- Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, 52074 Aachen, Germany; (D.W.); (L.H.); (S.W.); (C.D.-K.)
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Effects of Feedback on Students' Motor Skill Learning in Physical Education: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126281. [PMID: 34200657 PMCID: PMC8296044 DOI: 10.3390/ijerph18126281] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Feedback is an essential factor that may affect students' motor skill learning during physical education (PE) classes. This review aimed to (1) systematically examine the evidence for the effectiveness of feedback on students' skill learning during PE classes and (2) summarize the evidence for the effects of feedback elements (i.e., format and content). METHODS A systematic search was conducted on seven electronic databases to identify studies that explored the effects of feedback on student learning during PE classes. Twenty-three studies were selected, and the study quality was evaluated using the Physiotherapy Evidence Database scale. The levels of evidence were determined with the best evidence synthesis. RESULTS Strong evidence indicates the effectiveness of feedback intervention on students' skill learning compared with those who received no feedback. Limited evidence was found for the effect of visual feedback compared with verbal feedback. There were mixed results for the effectiveness of information feedback compared with praise or corrective feedback. CONCLUSION The current evidence suggests that feedback is useful for skill learning during PE classes. Emergent questions still need to be addressed, such as those regarding the efficiency of using different formats and contents for feedback delivery to enhance motor skill learning during PE classes.
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Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases. SENSORS 2021; 21:s21103444. [PMID: 34063355 PMCID: PMC8156914 DOI: 10.3390/s21103444] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/03/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022]
Abstract
Wearable devices are used in rehabilitation to provide biofeedback about biomechanical or physiological body parameters to improve outcomes in people with neurological diseases. This is a promising approach that influences motor learning and patients' engagement. Nevertheless, it is not yet clear what the most commonly used sensor configurations are, and it is also not clear which biofeedback components are used for which pathology. To explore these aspects and estimate the effectiveness of wearable device biofeedback rehabilitation on balance and gait, we conducted a systematic review by electronic search on MEDLINE, PubMed, Web of Science, PEDro, and the Cochrane CENTRAL from inception to January 2020. Nineteen randomized controlled trials were included (Parkinson's n = 6; stroke n = 13; mild cognitive impairment n = 1). Wearable devices mostly provided real-time biofeedback during exercise, using biomechanical sensors and a positive reinforcement feedback strategy through auditory or visual modes. Some notable points that could be improved were identified in the included studies; these were helpful in providing practical design rules to maximize the prospective of wearable device biofeedback rehabilitation. Due to the current quality of the literature, it was not possible to achieve firm conclusions about the effectiveness of wearable device biofeedback rehabilitation. However, wearable device biofeedback rehabilitation seems to provide positive effects on dynamic balance and gait for PwND, but higher-quality RCTs with larger sample sizes are needed for stronger conclusions.
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Design and Evaluation of SONIS, a Wearable Biofeedback System for Gait Retraining. MULTIMODAL TECHNOLOGIES AND INTERACTION 2020. [DOI: 10.3390/mti4030060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Herein, we introduce SONIS, a wearable system to support gait rehabilitation training after a lower extremity trauma, which combines a sensing sock with a smartphone application. SONIS provides interactive, corrective, real-time feedback combining visual and auditory cues. We report the design of SONIS and its evaluation by patients and therapists, which indicates acceptance by targeted users, credibility as a rehabilitation tool, and a positive user experience. SONIS demonstrates how to successfully combine a number of feedback strategies and modalities: graphical, verbal, and music feedback on gait quality during training (knowledge of performance) and verbal and vibrotactile feedback on gait tracking (knowledge of results).
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Smartphone App with an Accelerometer Enhances Patients' Physical Activity Following Elective Orthopedic Surgery: A Pilot Study. SENSORS 2020; 20:s20154317. [PMID: 32748876 PMCID: PMC7436024 DOI: 10.3390/s20154317] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/23/2020] [Accepted: 07/30/2020] [Indexed: 01/04/2023]
Abstract
Low physical activity (PA) levels are common in hospitalized patients. Digital health tools could be valuable in preventing the negative effects of inactivity. We therefore developed Hospital Fit; which is a smartphone application with an accelerometer, designed for hospitalized patients. It enables objective activity monitoring and provides patients with insights into their recovery progress and offers a tailored exercise program. The aim of this study was to investigate the potential of Hospital Fit to enhance PA levels and functional recovery following orthopedic surgery. PA was measured with an accelerometer postoperatively until discharge. The control group received standard physiotherapy, while the intervention group used Hospital Fit in addition to physiotherapy. The time spent active and functional recovery (modified Iowa Level of Assistance Scale) on postoperative day one (POD1) were measured. Ninety-seven patients undergoing total knee or hip arthroplasty were recruited. Hospital Fit use, corrected for age, resulted in patients standing and walking on POD1 for an average increase of 28.43 min (95% confidence interval (CI): 5.55-51.32). The odds of achieving functional recovery on POD1, corrected for the American Society of Anesthesiologists classification, were 3.08 times higher (95% CI: 1.14-8.31) with Hospital Fit use. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients' PA levels and functional recovery during hospitalization.
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