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Tsai MF, Atputharaj S, Zariffa J, Wang RH. Perspectives and expectations of stroke survivors using egocentric cameras for monitoring hand function at home: a mixed methods study. Disabil Rehabil Assist Technol 2024; 19:878-888. [PMID: 36206175 DOI: 10.1080/17483107.2022.2129851] [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: 04/27/2022] [Accepted: 09/16/2022] [Indexed: 10/10/2022]
Abstract
PURPOSE Most stroke survivors have remaining upper limb impairment six months after stroke and require additional rehabilitation and help from family members to enhance their performance of daily activities. First-person (egocentric) video has been proposed to capture the activities of daily living (ADLs) of stroke survivors in order to assess their hand function at home. This study explored the experiences and expectations of stroke survivors regarding the use of egocentric cameras in daily life for rehabilitation applications. METHODS Twenty-one chronic stroke survivors recruited for the study were asked to record three sessions of 1.5 h of video of their ADLs at home over two weeks. Their experiences and expectations after completing the recordings were discussed using a structured questionnaire and a semi-structured interview. The questionnaire and interview data were analysed using descriptive statistics and content analysis, respectively. The results were further integrated using a mixed methods analysis for mutual explanation and elaboration. RESULTS The themes generated were Camera Usability, Privacy Concerns Related to Home Recordings, Future Use of the Camera in Public, and Information Usefulness. The participants perceived that the camera was easy to use, the information obtained from the recordings was beneficial, and no major concerns about recording at home. A discreet camera and a solution to privacy issues were prerequisites to recording tasks in public. CONCLUSIONS There was high acceptance among stroke survivors regarding the use of wearable cameras for rehabilitation purposes in the future. Concerns to be managed include discomfort, self-consciousness, and the privacy of others.Implications for rehabilitationThe egocentric camera was easy for the stroke survivors to use at home. However, they expressed a preference for cameras to be less noticeable and lighter in the future to minimize self-consciousness and discomfort.Expectations for future use of an egocentric camera for upper limb rehabilitation at home from the perspectives of stroke survivors included receiving feedback on their hand function in daily life and guidance on how to improve function.Privacy concerns of stroke survivors regarding recording activities of daily living were mostly avoidable by planning in advance. However, some personal hygiene tasks and virtual meetings were recorded by accident. A checklist of common activities that may raise privacy issues can be provided along with the camera to serve as a reminder to avoid these issues.
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Affiliation(s)
- Meng-Fen Tsai
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
- Robotics Institute, University of Toronto, Toronto, Canada
| | - Sharmini Atputharaj
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
| | - José Zariffa
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
- Robotics Institute, University of Toronto, Toronto, Canada
- Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
| | - Rosalie H Wang
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
- Robotics Institute, University of Toronto, Toronto, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
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Knutson JS, Fu MJ, Cunningham DA, Hisel TZ, Friedl AS, Gunzler DD, Plow EB, Busch RM, Pundik S. Contralaterally controlled functional electrical stimulation video game therapy for hand rehabilitation after stroke: a randomized controlled trial. Disabil Rehabil 2023:1-10. [PMID: 37962171 PMCID: PMC11090983 DOI: 10.1080/09638288.2023.2278174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE To estimate the effect of integrating custom-designed hand therapy video games (HTVG) with contralaterally controlled functional electrical stimulation (CCFES) therapy. METHODS Fifty-two stroke survivors with chronic (>6 months) upper limb hemiplegia were randomized to 12 weeks of CCFES or CCFES + HTVG. Treatment involved self-administration of technology-mediated therapy at home plus therapist-administered CCFES-assisted task practice in the lab. Pre- and post-treatment assessments were made of hand dexterity, upper limb impairment and activity limitation, and cognitive function. RESULTS No significant between-group differences were found on any outcome measure, and the average magnitudes of improvement within both groups were small. The incidence of technical problems with study devices at home was greater for the CCFES + HTVG group. This negatively affected adherence and may partially explain the absence of effect of HTVG. At end-of-treatment, large majorities of both treatment groups had positive perceptions of treatment efficacy and expressed enthusiasm for the treatments. CONCLUSION This study makes an important contribution to the research literature on the importance of environmental factors, concomitant impairments, and technology simplification when designing technology-based therapies intended to be self-administered at home. This study failed to show any added benefit of HTVG to CCFES therapy.Clinicaltrials.gov (NCT03058796).
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Affiliation(s)
- Jayme S Knutson
- Research Service, Louis Stokes Cleveland VA Medical Center, Veterans Affairs Northeast OH Healthcare System, Cleveland, OH, USA
- Department of Physical Medicine and Rehabilitation, The MetroHealth System, Cleveland, OH, USA
- Department of Physical Medicine and Rehabilitation, Case Western Reserve University, Cleveland, OH, USA
| | - Michael J Fu
- Department of Physical Medicine and Rehabilitation, The MetroHealth System, Cleveland, OH, USA
- Department of Physical Medicine and Rehabilitation, Case Western Reserve University, Cleveland, OH, USA
- Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - David A Cunningham
- Department of Physical Medicine and Rehabilitation, The MetroHealth System, Cleveland, OH, USA
- Department of Physical Medicine and Rehabilitation, Case Western Reserve University, Cleveland, OH, USA
| | - Terri Z Hisel
- Department of Physical Medicine and Rehabilitation, The MetroHealth System, Cleveland, OH, USA
| | - Amy S Friedl
- Department of Physical Medicine and Rehabilitation, The MetroHealth System, Cleveland, OH, USA
| | - Douglas D Gunzler
- Center for Healthcare Research and Policy, The MetroHealth System, Cleveland, OH, USA
- Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA
- Department of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Ela B Plow
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
- Cleveland Clinic Rehabilitation Hospitals, Cleveland, OH, USA
| | - Robyn M Busch
- Departments of Neurology and Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Svetlana Pundik
- Neurology Service, Louis Stokes Cleveland VA Medical Center, Veterans Affairs Northeast OH Healthcare System, Cleveland, OH, USA
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
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Vasquez ED, Simpson CS, Zhou G, Lansberg M, Okamura AM. Evaluation of a Passive Wearable Device for Post-Stroke Shoulder Abduction Support. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941216 DOI: 10.1109/icorr58425.2023.10304815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Post-stroke upper extremity function can be improved by devices that support shoulder abduction. However, many of these devices provide limited assistance in activities of daily living due to their complexity and encumbrance. We developed and evaluated a passive, lightweight (0.6 kg) wearable device consisting of an aluminum frame and elastic bands attached to a posture vest to aid in shoulder abduction. The number and thickness of bands can be adjusted to provide supportive forces to the affected arm. We measured reachable workspace area and Wolf Motor Function Test (WMFT) performance in people with a history of stroke (n = 11) with and without the wearable. The device increased workspace area in 6 participants and improved average WMFT functional and timing scores in 7 and 12 tasks, respectively, out of 16 total tasks. On average, participants increased their arm motion within 20 cm of shoulder level by 22.4% and decreased their hand's average distance from trunk by 15.2%, both improvements in the device case.
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Manuel Román-Belmonte J, De la Corte-Rodríguez H, Adriana Rodríguez-Damiani B, Carlos Rodríguez-Merchán E. Artificial Intelligence in Musculoskeletal Conditions. ARTIF INTELL 2023. [DOI: 10.5772/intechopen.110696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Artificial intelligence (AI) refers to computer capabilities that resemble human intelligence. AI implies the ability to learn and perform tasks that have not been specifically programmed. Moreover, it is an iterative process involving the ability of computerized systems to capture information, transform it into knowledge, and process it to produce adaptive changes in the environment. A large labeled database is needed to train the AI system and generate a robust algorithm. Otherwise, the algorithm cannot be applied in a generalized way. AI can facilitate the interpretation and acquisition of radiological images. In addition, it can facilitate the detection of trauma injuries and assist in orthopedic and rehabilitative processes. The applications of AI in musculoskeletal conditions are promising and are likely to have a significant impact on the future management of these patients.
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Gaboury I, Dostie R, Corriveau H, Demoustier A, Tousignant M. Use of a Telerehabilitation Platform in a Stroke Continuum: A Qualitative Study of Patient and Therapist Acceptability. Int J Telerehabil 2022; 14:e6453. [PMID: 38026556 PMCID: PMC10681045 DOI: 10.5195/ijt.2022.6453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
The purpose of this study was to describe the acceptability of a stroke telerehabilitation platform from the perspective of both patients and therapists. Two public rehabilitation centers participated in a pilot telerehabilitation trial. A theoretical framework was used to conceptualize acceptability. Semi-structured individual interviews with patients and focus groups of therapists were conducted. Most participants and therapists were satisfied with the intervention. Participants emphasized the advantages of staying at home to get their treatments. Therapists were more skeptical at first about their self-efficacy to deliver therapy remotely. There was a consensus among therapists about the need for a combination of telerehabilitation and in-person visits to optimize treatments. While we found overall good acceptability, effectiveness of this technology could be improved via an accessible user interface, complementary rehabilitation material, and ongoing training and technical just-in-time support with therapists.
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Affiliation(s)
- Isabelle Gaboury
- Department of Family Medicine and Emergency Medicine, Université de Sherbrooke, Longueuil, Québec, Canada
| | - Rosalie Dostie
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Hélène Corriveau
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Arnaud Demoustier
- School of Nursing, Université de Sherbrooke, Longueuil, Québec, Canada
| | - Michel Tousignant
- School of Rehabilitation, Université de Sherbrooke, Sherbrooke, Québec, Canada
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Epalte K, Grjadovojs A, Bērziņa G. Use of the digital assistant “Vigo” at home environment for stroke recovery: focus group discussion with specialists working in neurorehabilitation (Preprint). JMIR Rehabil Assist Technol 2022; 10:e44285. [PMID: 37058334 PMCID: PMC10148207 DOI: 10.2196/44285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND There is a lack of resources for the provision of adequate rehabilitation after a stroke, thus creating a challenge to provide the necessary high-quality, patient-centered, and cost-efficient rehabilitation services at a time when they are needed the most. Tablet-based therapeutic programs present an alternative way to access rehabilitation services and show a new paradigm for providing therapeutic interventions following a stroke anytime and anywhere. The digital assistant Vigo is an artificial intelligence-based app that provides an opportunity for a new, more integrative way of carrying out a home-based rehabilitation program. Considering the complexity of the stroke recovery process, factors such as a suitable population, appropriate timing, setting, and the necessary patient-specialist support structure need to be thoroughly researched. There is a lack of qualitative research exploring the perspectives of professionals working in neurorehabilitation of the content and usability of the digital tool for the recovery of patients after a stroke. OBJECTIVE The aim of this study is to identify the requirements for a tablet-based home rehabilitation program for stroke recovery from the perspective of a specialist working in stroke rehabilitation. METHODS The focus group study method was chosen to explore specialists' attitudes, experience, and expectations related to the use of the digital assistant Vigo as a home-based rehabilitation program for stroke recovery in domains of the app's functionality, compliance, usability, and content. RESULTS In total, 3 focus groups were conducted with a participant count of 5-6 per group and the duration of the discussion ranging from 70 to 80 minutes. In total, 17 health care professionals participated in the focus group discussions. The participants represented physiotherapists (n=7, 41.2%), occupational therapists (n=7, 41.2%), speech and language therapists (n=2, 11.8%), and physical medicine and rehabilitation physicians (n=1, 5.9%). Audio and video recordings of each discussion were created for further transcription and analysis. In total, 4 themes were identified: (1) the clinician's views on using Vigo as a home-based rehabilitation system, (2) patient-related circumstances facilitating and limiting the use of Vigo; (3) Vigo's functionality and use process (program creation, individual use, remote support); and (4) complementary and alternative Vigo use perspectives. The last 3 themes were divided further into 10 subthemes, and 2 subthemes had 2 sub-subthemes each. CONCLUSIONS Health care professionals expressed a positive attitude toward the usability of the Vigo app. It is important that the content and use of the app be coherent with the aim to avoid (1) misunderstanding its practical use and the need for integration in practice and (2) misusing the app. In all focus groups, the importance of close involvement of rehabilitation specialists in the process of app development and research was highlighted.
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Affiliation(s)
- Klinta Epalte
- Department of Rehabilitation, Riga Stradiņš University, Riga, Latvia
| | | | - Guna Bērziņa
- Department of Rehabilitation, Riga Stradiņš University, Riga, Latvia
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Vourganas I, Stankovic V, Stankovic L. Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation. SENSORS (BASEL, SWITZERLAND) 2020; 21:E2. [PMID: 33374913 PMCID: PMC7792599 DOI: 10.3390/s21010002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/09/2020] [Accepted: 12/17/2020] [Indexed: 01/23/2023]
Abstract
Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountability, responsibility, and transparency (ART) requirements for wider acceptability. This paper presents such a patient-centric individualised home-based rehabilitation support system. To this end, the Timed Up and Go (TUG) and Five Time Sit To Stand (FTSTS) tests evaluate daily living activity performance in the presence or development of comorbidities. We present a method for generating synthetic datasets complementing experimental observations and mitigating bias. We present an incremental hybrid machine learning algorithm combining ensemble learning and hybrid stacking using extreme gradient boosted decision trees and k-nearest neighbours to meet individualisation, interpretability, and ART design requirements while maintaining low computation footprint. The model reaches up to 100% accuracy for both FTSTS and TUG in predicting associated patient medical condition, and 100% or 83.13%, respectively, in predicting area of difficulty in the segments of the test. Our results show an improvement of 5% and 15% for FTSTS and TUG tests, respectively, over previous approaches that use intrusive means of monitoring such as cameras.
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Affiliation(s)
- Ioannis Vourganas
- Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK; (V.S.); (L.S.)
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Dunne S, Close H, Richards N, Ellison A, Lane AR. Maximizing Telerehabilitation for Patients With Visual Loss After Stroke: Interview and Focus Group Study With Stroke Survivors, Carers, and Occupational Therapists. J Med Internet Res 2020; 22:e19604. [PMID: 33095179 PMCID: PMC7647809 DOI: 10.2196/19604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Visual field defects are a common consequence of stroke, and compensatory eye movement strategies have been identified as the most promising rehabilitation option. There has been a move toward compensatory telerehabilitation options, such as the Durham Reading and Exploration (DREX) training app, which significantly improves visual exploration, reading, and self-reported quality of life. OBJECTIVE This study details an iterative process of liaising with stroke survivors, carers, and health care professionals to identify barriers and facilitators to using rehabilitation tools, as well as elements of good practice in telerehabilitation, with a focus on how the DREX package can be maximized. METHODS Survey data from 75 stroke survivors informed 12 semistructured engagement activities (7 focus groups and 5 interviews) with 32 stroke survivors, 10 carers, and 24 occupational therapists. RESULTS Thematic analysis identified key themes within the data. Themes identified problems associated with poststroke health care from both patients' and occupational therapists' perspectives that need to be addressed to improve uptake of this rehabilitation tool and telerehabilitation options generally. This included identifying additional materials or assistance that were required to boost the impact of training packages. The acute rehabilitation setting was an identified barrier, and perceptions of technology were considered a barrier by some but a facilitator by others. In addition, 4 key features of telerehabilitation were identified: additional materials, the importance of goal setting, repetition, and feedback. CONCLUSIONS The data were used to try to overcome some barriers to the DREX training and are further discussed as considerations for telerehabilitation in general moving forward.
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Affiliation(s)
- Stephen Dunne
- School of Psychology, University of Sunderland, Sunderland, United Kingdom
| | - Helen Close
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Nicola Richards
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Amanda Ellison
- Department of Psychology, Durham University, Durham, United Kingdom
| | - Alison R Lane
- Department of Psychology, Durham University, Durham, United Kingdom
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Vourganas I, Stankovic V, Stankovic L, Michala AL. Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests. SENSORS 2019; 20:s20010026. [PMID: 31861514 PMCID: PMC6982997 DOI: 10.3390/s20010026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/16/2019] [Accepted: 12/16/2019] [Indexed: 11/21/2022]
Abstract
With increased demand for tele-rehabilitation, many autonomous home-based rehabilitation systems have appeared recently. Many of these systems, however, suffer from lack of patient acceptance and engagement or fail to provide satisfactory accuracy; both are needed for appropriate diagnostics. This paper first provides a detailed discussion of current sensor-based home-based rehabilitation systems with respect to four recently established criteria for wide acceptance and long engagement. A methodological procedure is then proposed for the evaluation of accuracy of portable sensing home-based rehabilitation systems, in line with medically-approved tests and recommendations. For experiments, we deploy an in-house low-cost sensing system meeting the four criteria of acceptance to demonstrate the effectiveness of the proposed evaluation methodology. We observe that the deployed sensor system has limitations in sensing fast movement. Indicators of enhanced motivation and engagement are recorded through the questionnaire responses with more than 83% of the respondents supporting the system’s motivation and engagement enhancement. The evaluation results demonstrate that the deployed system is fit for purpose with statistically significant (ϱc>0.99, R2>0.94, ICC>0.96) and unbiased correlation to the golden standard.
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Affiliation(s)
- Ioannis Vourganas
- Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK; (V.S.); (L.S.)
- Correspondence: ; Tel.: +44-141-548-2679
| | - Vladimir Stankovic
- Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK; (V.S.); (L.S.)
| | - Lina Stankovic
- Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK; (V.S.); (L.S.)
| | - Anna Lito Michala
- School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK;
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