This paper is in the following e-collection/theme issue:

mHealth for Rehabilitation (304) Artificial Intelligence (1711) Telehealth and Telemonitoring (1871) Machine Learning (1726) mHealth for Telemedicine and Homecare (472) Innovations in Exercise Rehabilitation (242) Telerehabilitation (183)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17216, first published .
Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study

Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study

Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study

Authors of this article:

Sang Hoon Chae1 Author Orcid Image ;   Yushin Kim2 Author Orcid Image ;   Kyoung-Soub Lee3 Author Orcid Image ;   Hyung-Soon Park1, 3 Author Orcid Image
Article Authors Cited by (132) Tweetations (2) Metrics

Journals

  1. Watanabe O, Narita N, Katsuki M, Ishida N, Cai S, Otomo H, Yokota K. Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data. Open Access Emergency Medicine 2021;Volume 13:23 View
  2. Burns S, Terblanche M, Perea J, Lillard H, DeLaPena C, Grinage N, MacKinen A, Cox E. mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review. Archives of Rehabilitation Research and Clinical Translation 2021;3(1):100095 View
  3. Calabrò R. Teleneurorehabilitation in the COVID-19 Era: What Are We Doing Now and What Will We Do Next?. Medical Sciences 2021;9(1):15 View
  4. Joo S, Lee C, Joo N, Kim C. Feasibility and Effectiveness of a Motion Tracking-Based Online Fitness Program for Office Workers. Healthcare 2021;9(5):584 View
  5. Avila F, McLeod C, Huayllani M, Boczar D, Giardi D, Bruce C, Carter R, Forte A. Wearable electronic devices for chronic pain intensity assessment: A systematic review. Pain Practice 2021;21(8):955 View
  6. Khoshrounejad F, Hamednia M, Mehrjerd A, Pichaghsaz S, Jamalirad H, Sargolzaei M, Hoseini B, Aalaei S. Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges. Frontiers in Public Health 2021;9 View
  7. Kim G, Parnandi A, Eva S, Schambra H. The use of wearable sensors to assess and treat the upper extremity after stroke: a scoping review. Disability and Rehabilitation 2022;44(20):6119 View
  8. Xie Y, Lu L, Gao F, He S, Zhao H, Fang Y, Yang J, An Y, Ye Z, Dong Z. Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare. Current Medical Science 2021;41(6):1123 View
  9. Bonnechère B. Integrating Rehabilomics into the Multi-Omics Approach in the Management of Multiple Sclerosis: The Way for Precision Medicine?. Genes 2022;14(1):63 View
  10. Aphiphaksakul P, Siriphorn A, Pinzon R. Home-based exercise using balance disc and smartphone inclinometer application improves balance and activity of daily living in individuals with stroke: A randomized controlled trial. PLOS ONE 2022;17(11):e0277870 View
  11. Dias L, Vianna H, Barbosa J. Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behaviour & Information Technology 2023;42(14):2485 View
  12. Uswatte G, Taub E, Lum P, Brennan D, Barman J, Bowman M, Taylor A, McKay S, Sloman S, Morris D, Mark V. Tele-rehabilitation of upper-extremity hemiparesis after stroke: Proof-of-concept randomized controlled trial of in-home Constraint-Induced Movement therapy. Restorative Neurology and Neuroscience 2021;39(4):303 View
  13. Han D, Ding E, Cho C, Jung H, Dickson E, Mohagheghian F, Peitzsch A, DiMezza D, Tran K, McManus D, Chon K. A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study. JMIR Cardio 2023;7:e41691 View
  14. Hu J, Zou J, Wan Y, Yao Q, Dong P, Li G, Wu X, Zhang L, Liang D, Zeng Q, Huang G. Rehabilitation of motor function after stroke: A bibliometric analysis of global research from 2004 to 2022. Frontiers in Aging Neuroscience 2022;14 View
  15. Jin P, Jiang W, Bao Q, Wei W, Jiang W. Predictive nomogram for soft robotic hand rehabilitation of patients with intracerebral hemorrhage. BMC Neurology 2022;22(1) View
  16. Lee W, Schwartz N, Bansal A, Khor S, Hammarlund N, Basu A, Devine B. A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices. Value in Health 2023;26(2):292 View
  17. Li Q, Liu Y, Zhu J, Chen Z, Liu L, Yang S, Zhu G, Zhu B, Li J, Jin R, Tao J, Chen L. Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation. JMIR mHealth and uHealth 2021;9(9):e24402 View
  18. Boukhennoufa I, Zhai X, Utti V, Jackson J, McDonald-Maier K. Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review. Biomedical Signal Processing and Control 2022;71:103197 View
  19. Bin K, De Pretto L, Sanchez F, Battistella L. Digital Platform to Continuously Monitor Patients Using a Smartwatch: Preliminary Report. JMIR Formative Research 2022;6(9):e40468 View
  20. Boyer P, Burns D, Whyne C. Evaluation of at-home physiotherapy. Bone & Joint Research 2023;12(3):165 View
  21. Kocak U, Guran O, Kalkan S, Kaya E, Kurt M, Karatosun V, Unver B. Assessing the knee flexion range of motion after total knee arthroplasty: Technology versus senses. Journal of Bodywork and Movement Therapies 2021;28:547 View
  22. Khoja A, Ali N, Akber N, Harrison J, Kazim F. Role of virtual modality for stroke caregivers in facilitating stroke survivors and assessing their perceptions in the midst of COVID-19 pandemic. F1000Research 2022;11:1142 View
  23. Fulk G. Artificial Intelligence and Neurologic Physical Therapy. Journal of Neurologic Physical Therapy 2023;47(1):1 View
  24. Fan Y, Ma Y, Zhang Y, Sun C, Che H. A Retrospective Analysis of Internet-Based Sharing Nursing Service Appointment Data. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  25. 孙 天. Feasibility of Family Rehabilitation Model for Cerebral Stroke Patients. Advances in Clinical Medicine 2022;12(04):2493 View
  26. Liu F, Bao G, Yan M, Lin G. A decision support system for primary headache developed through machine learning. PeerJ 2022;10:e12743 View
  27. Ding K, Zhang B, Ling Z, Chen J, Guo L, Xiong D, Wang J. Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback. Sensors 2022;22(9):3368 View
  28. Nikolaev V, Nikolaev A. Recent trends in telerehabilitation of stroke patients: A narrative review. NeuroRehabilitation 2022;51(1):1 View
  29. Yang R, Zhang Y, Xu M, Ma J, Teekaraman Y. Image Features of Magnetic Resonance Angiography under Deep Learning in Exploring the Effect of Comprehensive Rehabilitation Nursing on the Neurological Function Recovery of Patients with Acute Stroke. Contrast Media & Molecular Imaging 2021;2021:1 View
  30. Guo L, Wang J, Wu Q, Li X, Zhang B, Zhou L, Xiong D. Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial. JMIR mHealth and uHealth 2023;11:e40416 View
  31. Mennella C, Maniscalco U, De Pietro G, Esposito M. The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review. IEEE Access 2023;11:11024 View
  32. Bonura A, Motolese F, Capone F, Iaccarino G, Alessiani M, Ferrante M, Calandrelli R, Lazzaro V, Pilato F. Smartphone App in Stroke Management: A Narrative Updated Review. Journal of Stroke 2022;24(3):323 View
  33. Lee K, Choi M, Jeoung B. Effectiveness of Rehabilitation Exercise in Improving Physical Function of Stroke Patients: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(19):12739 View
  34. Guo C, Chiesa P, de Moor C, Fazeli M, Schofield T, Hofer K, Belachew S, Scotland A. Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review. Journal of Medical Internet Research 2022;24(11):e37683 View
  35. Song Y, Zhang W, Li Q, Ma W, Khalaf O. Medical Data Acquisition and Internet of Things Technology-Based Cerebral Stroke Disease Prevention and Rehabilitation Nursing Mobile Medical Management System. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  36. Di Spirito F. Integrating P4 Medicine in Teledentistry and M-Health in Oral, Dental, and Periodontal Care. Journal of Personalized Medicine 2023;13(1):111 View
  37. Huang J, Hartanti I, Colin M, Pitaloka D. Telemedicine and artificial intelligence to support self-isolation of COVID-19 patients: Recent updates and challenges. DIGITAL HEALTH 2022;8:205520762211006 View
  38. Lin C, Chien T, Chen Y, Lee Y, Su S. An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel. Medicine 2022;101(4):e28697 View
  39. Wang K, Gu L, Liu W, Xu C, Yin C, Liu H, Rong L, Li W, Wei X. The predictors of death within 1 year in acute ischemic stroke patients based on machine learning. Frontiers in Neurology 2023;14 View
  40. Toh S, Chia P, Fong K. Effectiveness of home-based upper limb rehabilitation in stroke survivors: A systematic review and meta-analysis. Frontiers in Neurology 2022;13 View
  41. Sun X, Ding J, Dong Y, Ma X, Wang R, Jin K, Zhang H, Zhang Y. A Survey of Technologies Facilitating Home and Community-Based Stroke Rehabilitation. International Journal of Human–Computer Interaction 2023;39(5):1016 View
  42. Toh S, Fong K, Gonzalez P, Tang Y. Application of Home-Based Wearable Technologies in Physical Rehabilitation for Stroke: A Scoping Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:1614 View
  43. Zhuparris A, Maleki G, Koopmans I, Doll R, Voet N, Kraaij W, Cohen A, van Brummelen E, De Maeyer J, Groeneveld G. Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study. JMIR Formative Research 2023;7:e41178 View
  44. Triantafyllidis A, Segkouli S, Zygouris S, Michailidou C, Avgerinakis K, Fappa E, Vassiliades S, Bougea A, Papagiannakis N, Katakis I, Mathioudis E, Sorici A, Bajenaru L, Tageo V, Camonita F, Magga-Nteve C, Vrochidis S, Pedullà L, Brichetto G, Tsakanikas P, Votis K, Tzovaras D. Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review. Sensors 2023;23(7):3396 View
  45. Yang T, Hu Y, Pan X, Lou S, Zou J, Deng Q, Zhang Q, Zhou J, Zhu J. Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study. Brain Sciences 2023;13(4):557 View
  46. Bovens D, van Baarle E, Molewijk B. Personal health monitoring in the armed forces – scouting the ethical dimension. BMC Medical Ethics 2023;24(1) View
  47. Yoshida Y, Yuda E. Workout Detection by Wearable Device Data Using Machine Learning. Applied Sciences 2023;13(7):4280 View
  48. Rosiński J, Kotlarz P, Rojek I, Mikołajewski D. Machine Learning Classification for a Second Opinion System in the Selection of Assistive Technology in Post-Stroke Patients. Applied Sciences 2023;13(9):5444 View
  49. Handa T. The potential role of artificial intelligence in the clinical practice of interstitial lung disease. Respiratory Investigation 2023;61(6):702 View
  50. Heo J. Development of Software Solutions for Stroke: A Personal Experience. Journal of the Korean Neurological Association 2023;41(2):105 View
  51. Zhou S, Zhang J, Chen F, Wong T, Ng S, Li Z, Zhou Y, Zhang S, Guo S, Hu X. Automatic theranostics for long-term neurorehabilitation after stroke. Frontiers in Aging Neuroscience 2023;15 View
  52. Wei S, Wu Z. The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review. Sensors 2023;23(18):7667 View
  53. Gebreheat G, Goman A, Porter-Armstrong A. The use of home-based digital technology to support post-stroke upper limb rehabilitation: A scoping review. Clinical Rehabilitation 2024;38(1):60 View
  54. Qiu H, Chen Y, Chen Z, Yang C, Wu S, Li F, Xie L. Feasibility of Wrist-Worn, Cancelable, Real-Time Biometric Authentication via HD-sEMG and Dynamic Gestures. IEEE Transactions on Instrumentation and Measurement 2023;72:1 View
  55. Cunha B, Ferreira R, Sousa A. Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. Sensors 2023;23(16):7100 View
  56. Bin K, De Pretto L, Sanchez F, De Souza e Castro F, Ramos V, Battistella L. Digital Platform for Continuous Monitoring of Patients Using a Smartwatch: Longitudinal Prospective Cohort Study. JMIR Formative Research 2023;7:e47388 View
  57. Jiang N, Xv Y, Sun X, Feng L, Wang Y, Jiang X. Study on self-management of real-time and individualized support in stroke patients based on resilience: a protocol for a randomized controlled trial. Trials 2023;24(1) View
  58. Sumner J, Lim H, Chong L, Bundele A, Mukhopadhyay A, Kayambu G. Artificial intelligence in physical rehabilitation: A systematic review. Artificial Intelligence in Medicine 2023;146:102693 View
  59. Saceleanu V, Toader C, Ples H, Covache-Busuioc R, Costin H, Bratu B, Dumitrascu D, Bordeianu A, Corlatescu A, Ciurea A. Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations. Biomedicines 2023;11(10):2617 View
  60. Arntz A, Weber F, Handgraaf M, Lällä K, Korniloff K, Murtonen K, Chichaeva J, Kidritsch A, Heller M, Sakellari E, Athanasopoulou C, Lagiou A, Tzonichaki I, Salinas-Bueno I, Martínez-Bueso P, Velasco-Roldán O, Schulz R, Grüneberg C. Technologies in Home-Based Digital Rehabilitation: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e43615 View
  61. Razfar N, Kashef R, Mohammadi F. Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets. Sensors 2023;23(12):5513 View
  62. Motolese F, Capone F, Magliozzi A, Vico C, Iaccarino G, Falato E, Pilato F, Di Lazzaro V. A smart devices based secondary prevention program for cerebrovascular disease patients. Frontiers in Neurology 2023;14 View
  63. Kadambi A, Bandini A, Ramkalawan R, Hitzig S, Zariffa J. Designing an Egocentric Video-Based Dashboard to Report Hand Performance Measures for Outpatient Rehabilitation of Cervical Spinal Cord Injury. Topics in Spinal Cord Injury Rehabilitation 2023;29(Supplement):75 View
  64. Zhao L, Zhao Y, Bu L, Sun H, Tang W, Li K, Zhang W, Tang W, Zhang Y. Design Method of a Smart Rehabilitation Product Service System Based on Virtual Scenarios: A Case Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:4570 View
  65. Khoja A, Ali N, Akber N, Harrison J, Kazim F. Role of virtual modality for stroke caregivers in facilitating stroke survivors and assessing their perceptions in the midst of COVID-19 pandemic: A short review. F1000Research 2023;11:1142 View
  66. Zhang L, Liu Z, Mo K, Pu W, Yin J, Ma Z, Jiang Z, Wu Y. Technological advances in out-of-hospital care: Digital solutions, Asia Pacific experiences, and inherent challenges. Informatics and Health 2024;1(1):9 View
  67. Jiang Z, Van Zoest V, Deng W, Ngai E, Liu J. Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey. IEEE Internet of Things Journal 2023;10(24):21959 View
  68. Wong A, Tso W, Su J, Hui V, Chow K, Wong S, Wong B, Wong F, Fukumoto Y. Effectiveness of support from community health workers on the sustained use of a wearable monitoring device among community-dwelling older adults: A randomized trial protocol. PLOS ONE 2023;18(12):e0294517 View
  69. Cao W, Kadir A, Tang W, Wang J, Yuan J, Hassan I. Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2024;24(1) View
  70. Toh F, Lam W, Gonzalez P, Fong K. ‘Smart reminder’: A feasibility pilot study on the effects of a wearable device treatment on the hemiplegic upper limb in persons with stroke. Journal of Telemedicine and Telecare 2024 View
  71. Willingham T, Stowell J, Collier G, Backus D. Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities. International Journal of Environmental Research and Public Health 2024;21(1):79 View
  72. Ye G, Chen T, Hung Nguyen Q, Yin H. Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Transactions on Intelligence Technology 2024;9(3):608 View
  73. Wang F. Wearable sensor-based on exercise monitoring system for disabled the individuals using a multi-attribute fuzzy evaluation mode. Journal of Intelligent & Fuzzy Systems 2024;46(3):6925 View
  74. Kim D, Park J, Kim M, Byun S, Jung C, Jeong H, Woo S, Lee K, Lee M, Jung J, Lee D, Ryu B, Yang S, Baek S. Automatic Assessment of Upper Extremity Function and Mobile Application for Self-Administered Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:652 View
  75. Kim G, Gahlot A, Magsombol C, Waskiewicz M, Capasso N, Van Lew S, Kim H, Parnandi A, Dickson V, Goverover Y. Feasibility of a Self-directed Upper Extremity Training Program to Promote Actual Arm Use for Individuals Living in the Community With Chronic Stroke. Archives of Rehabilitation Research and Clinical Translation 2024;6(1):100316 View
  76. Karimi F, Amoozgar Z, Reiazi R, Hosseinzadeh M, Rawassizadeh R. Longitudinal analysis of heart rate and physical activity collected from smartwatches. CCF Transactions on Pervasive Computing and Interaction 2024;6(1):18 View
  77. Khalid U, Naeem M, Stasolla F, Syed M, Abbas M, Coronato A. Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends. International Journal of General Medicine 2024;Volume 17:943 View
  78. Rony R, Amir S, Ahmed N, Atiba S, Verdezoto N, Sparkes V, Stawarz K. Understanding the Sociocultural Challenges and Opportunities for Affordable Wearables to Support Poststroke Upper-Limb Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e54699 View
  79. Huang T, Zhang W, Yan B, Liu H, Girard O. Comparing Telerehabilitation and Home-based Exercise for Shoulder Disorders: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation 2024;105(11):2214 View
  80. Sengupta N, Rao A, Yan B, Palaniswami M. A Survey of Wearable Sensors and Machine Learning Algorithms for Automated Stroke Rehabilitation. IEEE Access 2024;12:36026 View
  81. Wang X, Zhang J, Xie S, Shi C, Li J, Zhang Z. Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review. IEEE Sensors Journal 2024;24(6):7432 View
  82. e Siqueira T, Parraça J, Sousa J. Available rehabilitation technology with the potential to be incorporated into the clinical practice of physiotherapists: A systematic review. Health Science Reports 2024;7(4) View
  83. Lin M, Chen C. Breaking Sound Barriers: Exploring Tele-Audiology’s Impact on Hearing Healthcare. Diagnostics 2024;14(8):856 View
  84. Lyckegård Finn E, Carlsson H, Ericson P, Åström K, Brogårdh C, Wasselius J. The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period – an explorative observational study. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  85. Anderson E, Lennon M, Kavanagh K, Weir N, Kernaghan D, Roper M, Dunlop E, Lapp L. Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review. Online Journal of Public Health Informatics 2024;16:e57618 View
  86. Khater H, Sallabi F, Serhani M, Barka E, Shuaib K, Tariq A, Khayat M. Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review. IEEE Access 2024;12:83952 View
  87. Sassi M, Carnevale A, Mancuso M, Schena E, Pecchia L, Giuseppe Longo U. Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms. IEEE Sensors Journal 2024;24(14):22934 View
  88. Triantafyllidis A, Kondylakis H, Katehakis D, Kouroubali A, Alexiadis A, Segkouli S, Votis K, Tzovaras D. Smartwatch interventions in healthcare: A systematic review of the literature. International Journal of Medical Informatics 2024;190:105560 View
  89. Cao S, Yang S, Chen B, Chen X, Fu X, Tang S. Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms. Renal Failure 2024;46(2) View
  90. Yang S, Choi J. Effects of kinesio taping combined with upper extremity function training home program on upper limb function and self-efficacy in stroke patients: An experimental study. Medicine 2024;103(30):e39050 View
  91. Saad H, Zaki J, Abdelsalam M. Employing of machine learning and wearable devices in healthcare system: tasks and challenges. Neural Computing and Applications 2024;36(29):17829 View
  92. Wang Y, Liu C, Wang Z, Li Y, Jiang H, Zhang Y, Xie Y. Internet + wearable device training effects on limb function recovery and serum neurocytokine content in stroke patients. NeuroRehabilitation 2024;55(1):17 View
  93. Liu T, Zou J, Geng Q, Liu J. Advances in Cardiac Telerehabilitation for Older Adults in the Digital Age: A Narrative Review. Heart and Mind 2024 View
  94. Restrepo-Parra E, Ariza-Colpas P, Torres-Bonilla L, Piñeres-Melo M, Urina-Triana M, Butt-Aziz S. Home Monitoring Tools to Support Tracking Patients with Cardio–Cerebrovascular Diseases: Scientometric Review. IoT 2024;5(3):524 View
  95. Pereira A, Machado Neto O, Elui V, Pimentel M. Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study. JMIR Aging 2025;8:e55455 View
  96. Zaidi K, Wei Q. Temporal localization of upper extremity bilateral synergistic coordination using wearable accelerometers. PeerJ 2024;12:e17858 View
  97. Reis F, Carvalho M, Neves G, Nogueira L, Meziat-Filho N. Machine learning methods in physical therapy: A scoping review of applications in clinical context. Musculoskeletal Science and Practice 2024;74:103184 View
  98. Song A, Lugo L, Muccini J, Mlynash M, Lansberg M. EngageHealth: a mobile device application designed to deliver stroke rehabilitation exercises using asynchronous video recordings. Frontiers in Stroke 2024;3 View
  99. Balconi M, Angioletti L, Crivelli D. Integrating EEG biomarkers in the neurocognitive screening of executive functions in substance and behavioral addiction. Frontiers in Psychiatry 2024;15 View
  100. Li Q, Li Y, Zhang S, Zhou X, Pan Z. A theoretical framework for human-centered intelligent information services: A systematic review. Information Processing & Management 2025;62(1):103891 View
  101. Leypold T, Bahm J, Schäfer B, Beier J, Disselhorst-Klug C, Fonseca-Höflinger L. The use of accelerometers to assess upper limb function in patients with obstetric brachial plexus palsy. Scientific Reports 2024;14(1) View
  102. Toh F, Lam W, Cruz Gonzalez P, Fong K. Effects of a Wearable-Based Intervention on the Hemiparetic Upper Limb in Persons With Stroke: A Randomized Controlled Trial. Neurorehabilitation and Neural Repair 2025;39(1):31 View
  103. Alabeidi F, Aljawad ‏, Alswaied ‏, Alanazi ‏, Aljabri ‏, Jaafari ‏, Alanazi ‏, Alhomod ‏, Alhamed ‏, Alhizan ‏, Albogamy ‏, Alkhodair ‏, Alosaimi ‏, Alharbi ‏, Alharbi ‏, Alotaysh H, Albabtain M, Aljuaid T. Interventions utilizing smartwatches in healthcare: A comprehensive literature review. International journal of health sciences 2024;8(S1):1434 View
  104. Senadheera I, Hettiarachchi P, Haslam B, Nawaratne R, Sheehan J, Lockwood K, Alahakoon D, Carey L. AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI. Sensors 2024;24(20):6585 View
  105. Smits Serena R, Hinterwimmer F, Burgkart R, von Eisenhart-Rothe R, Rueckert D. The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review. JMIR mHealth and uHealth 2025;13:e60521 View
  106. Latif A, Al Janabi H, Joshi M, Fusari G, Shepherd L, Darzi A, Leff D. Use of commercially available wearable devices for physical rehabilitation in healthcare: a systematic review. BMJ Open 2024;14(11):e084086 View
  107. Hosseinalizadeh M, Asghari M, Toosizadeh N. Sensor-Based Frailty Assessment Using Fitbit. Sensors 2024;24(23):7827 View
  108. Lobo P, Morais P, Murray P, Vilaça J. Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review. Sensors 2024;24(24):7973 View
  109. Adepoju V, Jamil S, Biswas M, Chowdhury A. Wearable Technology in the Management of Chronic Diseases: A Growing Concern. Chronic Diseases and Translational Medicine 2024 View
  110. Rasa A, Borja A. Artificial Intelligence and Its Revolutionary Role in Physical and Mental Rehabilitation: A Review of Recent Advancements. BioMed Research International 2024;2024(1) View
  111. Alqahtani M, Alanazi A, Algarni S, Aljohani H, Alenezi F, F Alotaibi T, Alotaibi M, K Alqahtani M, Alahmari M, S Alwadeai K, M Alghamdi S, Almeshari M, Alshammari T, Mumenah N, Al Harbi E, Al Nufaiei Z, Alhuthail E, Alzahrani E, Alahmadi H, Alarifi A, Zaidan A, T Ismaeil T. Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review. Interactive Journal of Medical Research 2024;13:e57271 View
  112. Mohd Dhuzuki N, Zainuddin A, Kamarul Zaman N, Ahmad Razmi A, Kaitane W, Ahmad Puzi A, Johar M, Yazid M, Mohd Nordin N, Sidek S, Mohd Zaki H. Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe. IIUM Engineering Journal 2025;26(1):353 View
  113. Boyer P, Burns D, Razmjou H, Renteria C, Sheth U, Richards R, Whyne C. Quantifying the Relationship Between At-Home Shoulder Physiotherapy Participation and Outcome: What can a Watch Tell Us?. Journal of the American Academy of Orthopaedic Surgeons 2025 View
  114. Khalafi P, Morsali S, Hamidi S, Ashayeri H, Sobhi N, Pedrammehr S, Jafarizadeh A. Artificial intelligence in stroke risk assessment and management via retinal imaging. Frontiers in Computational Neuroscience 2025;19 View
  115. Purohit R, Appelgren-Gonzalez J, Varas-Diaz G, Wang S, Hosiasson M, Covarrubias-Escudero F, Bhatt T. Feasibility of Smartphone-Based Exercise Training Integrated with Functional Electrical Stimulation After Stroke (SETS): A Preliminary Study. Sensors 2025;25(4):1254 View
  116. Kim Y, Kim S, Nam H. Application of Smart Watch-Based Functional Evaluation for Upper Extremity Impairment: A Preliminary Study on Older Emirati Stroke Population. Sensors 2025;25(5):1554 View
  117. Shi J, Yue S, Chen H, Fang F, Wang X, Xue J, Zhao Y, Li Z, Sun C. Global output of clinical application research on artificial intelligence in the past decade: a scientometric study and science mapping. Systematic Reviews 2025;14(1) View
  118. Celik Y, Wall C, Moore J, Godfrey A. Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables. Pragmatic and Observational Research 2025;Volume 16:67 View
  119. Rezkalla M, Boyer P, Burns D, Renteria C, Whyne C. Quantifying At-Home Physiotherapy Participation: SPARS vs Self-Reported Diaries. Archives of Rehabilitation Research and Clinical Translation 2025:100445 View

Books/Policy Documents

  1. Klamroth-Marganska V, Giovanoli S, Easthope C, Schönhammer J. Neurorehabilitation Technology. View
  2. Uslu G, Unal B, Aydın A, Baydere S. Integrating Artificial Intelligence and IoT for Advanced Health Informatics. View
  3. Adans-Dester C, Lang C, Reinkensmeyer D, Bonato P. Neurorehabilitation Technology. View
  4. Ferreira R, Santos R, Sousa A. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare. View
  5. Wang X, Gao H, Ma T, Yu J. Intelligent Robotics and Applications. View
  6. Azam I, Usman M. Emerging Technologies During the Era of COVID-19 Pandemic. View
  7. Selvaganapathy S, Hema Priya N, Rathika P, Mohana Lakshmi M. Computer Vision and Robotics. View
  8. Shoenbill K, Kasturi S, Mendonca E. Chronic Illness Care. View
  9. Hahn H, Zaidi Z, Bachani A, West J. Advances in Digital Health and Medical Bioengineering. View
  10. Bhamidipaty V, Bhamidipaty D, S.M F, Bhamidipaty K, Botchu R. Blockchain and Digital Twin for Smart Hospitals. View
  11. Wadhwa G, Bossoufi B. Integrating AI With Haptic Systems for Smarter Healthcare Solutions. View

Conference Proceedings

  1. Razfar N, Kashef R, Mohammadi F. 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). A Comprehensive Overview on IoT-Based Smart Stroke Rehabilitation Using the Advances of Wearable Technology View
  2. Pandya A, Castillo M, Hashemi J, Gupta M, Graves B, Sanghvi H. 2023 IEEE World Conference on Applied Intelligence and Computing (AIC). A 3D-Based Novel Framework Using Artificial Intelligence and Augmented Reality for Biomechanical Analysis: An Experimental Study View