Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

Journal: Trials
Published Date:

Abstract

BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively assess patients' motor function and guide their rehabilitation training. Our study aims to verify the clinical efficacy of the virtual reality training system in improving upper limb motor dysfunction in poststroke patients.

Authors

  • Qiurong Xie
    College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China. qwfyby@163.com.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Xiaoling Wang
    Shanghai Key Lab of Trustworthy Computing, East China Normal University, Shanghai, China.
  • Jia Luo
    Business School, Chengdu University, Chengdu, China.
  • Bo Sheng
    Department of Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland, New Zealand; Department of Sport and Exercise Science, The University of Auckland, 261 Morrin Road, Auckland, New Zealand. Electronic address: bshe687@aucklanduni.ac.nz.