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

mHealth for Rehabilitation (179) Artificial Intelligence (709) Telehealth and Telemonitoring (1224) Machine Learning (1053) mHealth for Telemedicine and Homecare (263) Innovations in Exercise Rehabilitation (179) Telerehabilitation (119)

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 Chae 1 Author Orcid Image ;   Yushin Kim 2 Author Orcid Image ;   Kyoung-Soub Lee 3 Author Orcid Image ;   Hyung-Soon Park 1, 3 Author Orcid Image
Article Authors Cited by (57) Tweetations (3) Metrics

Sang Hoon Chae   1 , MD, PhD ;   Yushin Kim   2 , PhD ;   Kyoung-Soub Lee   3 , MS ;   Hyung-Soon Park   1, 3 , PhD

1 Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, KR

2 Major of Sports Health Rehabilitation, Cheongju University, Cheongju, KR

3 Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, KR

Corresponding Author:

  • Hyung-Soon Park, PhD
  • Department of Mechanical Engineering
  • Korea Advanced Institute of Science and Technology
  • 291 Daehak-ro, Yuseong-gu
  • Daejeon
  • KR
  • Phone: 82 42-350-3038
  • Email: hyungspark@kaist.ac.kr