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

Digital Health Reviews (3808) Mobile Health (mhealth) (5262) Cognitive and Neurorehabilitation (445) Use and Perceptions of Technology in Everyday Life and for Rehabilitation (93) mHealth for Telemedicine and Homecare (891) mHealth for Rehabilitation (579)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85596, first published .
Elderly man wearing fitness trackers on arm, walking outdoors

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review

Authors of this article:

Shengting Li1, 2 Author Orcid Image ;   Siqi Chen1, 2 Author Orcid Image ;   Xiaosong Yu1, 2 Author Orcid Image ;   Huixiang Shang1, 2 Author Orcid Image ;   Tingting Tu1, 2 Author Orcid Image ;   Mingtao Quan1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Yi X, Song X, Jin J, Sun L, Qu H, Huang H, Zhu J. Conditional acceptance of emotion-recognition-enabled smart care devices for home-based rehabilitation and elderly care: a dual-perspective survey of prospective users and family caregivers. Frontiers in Public Health 2026;14 View
  2. Phokaewvarangkul O, Jost W, Bhidayasiri R. What’s in a name? reframing advanced Parkinson’s disease as a multidimensional state. Journal of Neural Transmission 2026 View
  3. Huang L, Xu M, Yang Y, Tian Y, Xu Z, Wang Y, Hou A, Zhu L, Lin Y, Wang L, Zhao Y, Wei S, Wang P, Peng L. The Technologies, Applicability, and Trade-Offs of AI in Palliative Care for Older Adults: Scoping Review. Journal of Medical Internet Research 2026;28:e100216 View