Development and External Validation of a Motor Intention-Integrated Prediction Model for Upper Extremity Motor Recovery After Intention-Driven Robotic Hand Training for Chronic Stroke.

Journal: Archives of physical medicine and rehabilitation
PMID: 39218244

Abstract

OBJECTIVE: To derive and validate a prediction model for minimal clinically important differences (MCIDs) in upper extremity (UE) motor function after intention-driven robotic hand training using residual voluntary electromyography (EMG) signals from affected UE.

Authors

  • Chengpeng Hu
  • Chun Hang Eden Ti
    Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Xiangqian Shi
    Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.
  • Kai Yuan
    College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Shanxi Province, 030801, China.
  • Thomas W H Leung
    Division of Neurology, Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Raymond Kai-yu Tong
    Interdisciplinary Division of Biomedical Engineering, the Hong Kong Polytechnic University, Hong Kong, SAR Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong, SAR kytong@cuhk.edu.hk.

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