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

mHealth for Rehabilitation (235) Portable and Mobile Technologies for Rehabilitation (142) Stroke (148) Telerehabilitation (141) Emerging Technologies for Rehabilitation (241) Wearable Devices and Sensors (818)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40416, first published .
Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial

Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial

Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial

Authors of this article:

Liquan Guo1, 2 Author Orcid Image ;   Jiping Wang1, 2 Author Orcid Image ;   Qunqiang Wu3 Author Orcid Image ;   Xinming Li4 Author Orcid Image ;   Bochao Zhang1, 2 Author Orcid Image ;   Linfu Zhou5 Author Orcid Image ;   Daxi Xiong1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Gupta N, Kasula V, Sanmugananthan P, Panico N, Dubin A, Sykes D, D'Amico R. SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies. World Neurosurgery: X 2024;21:100247 View
  2. Chaki J, Woźniak M. Deep Learning and Artificial Intelligence in Action (2019–2023): A Review on Brain Stroke Detection, Diagnosis, and Intelligent Post-Stroke Rehabilitation Management. IEEE Access 2024;12:52161 View
  3. Vogel C, Grimm B, Marmor M, Sivananthan S, Richter P, Yarboro S, Hanflik A, Histing T, Braun B. Wearable Sensors in Other Medical Domains with Application Potential for Orthopedic Trauma Surgery—A Narrative Review. Journal of Clinical Medicine 2024;13(11):3134 View