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

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
  4. Alkhuzaimi F, Rainey D, Wilson C, Bloomfield J. The impact of mobile health interventions on service users’ health outcomes and the role of health professions: a systematic review of systematic reviews—protocol. Systematic Reviews 2024;13(1) View
  5. 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
  6. Song Q, Qin Q, Suen L, Liang G, Qin H, Zhang L. Effects of wearable device training on upper limb motor function in patients with stroke: a systematic review and meta-analysis. Journal of International Medical Research 2024;52(10) View
  7. Ito D, Kawakami M, Hosoi Y, Kamimoto T, Yamada Y, Takemura R, Tsuji T. Development of a quantitative assessment for abnormal flexor synergy index in patients with stroke: a validity and responsiveness study. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  8. Alkhuzaimi F, Rainey D, Brown Wilson C, Bloomfield J. The impact of mobile health interventions on service users' health outcomes and the role of health professions: a systematic review of systematic reviews. BMC Digital Health 2025;3(1) View
  9. Lu Y, Ding K, Dai Y, Yin J, Yao J, Guo L, Wang J, Wang X. Clinical Application Research on Stroke Situational Intelligent Rehabilitation Training System Based on Wearable Devices: A Randomized Controlled Trial. Healthcare 2025;13(7):708 View
  10. Klymenko I, Meleha K, Chemelova V. Психофізіологічні аспекти фізичної реабілітації: інтеграція фізичних і психологічних методів у відновленні пацієнтів. Likarska sprava 2025;(1) View
  11. Nairn B, Tsakanikas V, Gordon B, Karapintzou E, Kaski D, Fotiadis D, Bamiou D. Smart wearable technologies for balance rehabilitation in older adults for falls risk: a scoping review and comparative analysis (Preprint). JMIR Rehabilitation and Assistive Technologies 2024 View
  12. Shnitzer H, Chan J, Yau T, McIntyre M, Andreoli A, Kua A, Bayley M, Leochico C, Guo M, Munce S. The Safety of Telerehabilitation: A Systematic Review (Preprint). JMIR Rehabilitation and Assistive Technologies 2024 View

Conference Proceedings

  1. Gao L, Geng N, Wang C. 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON). A Sports Training System Based on Kinect Intelligent Wearable Device View