Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.

Journal: Journal of neuroengineering and rehabilitation
Published Date:

Abstract

BACKGROUND: Robot-assisted gait training is more effective in improving lower limb function and walking ability in stroke patients compared to conventional rehabilitation, but the neural mechanisms remain unclear. This study aims to explore the effects of robot-assisted gait training on lower limb motor dysfunction in stroke patients and its impact on neural activity in the motor cortex, providing objective evidence for clinical application.

Authors

  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Huihuang Zhang
    The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
  • Wanying Zhang
    The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
  • Jianing Wu
    School of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou, 510006, P. R. China.
  • Lei Dai
    School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Nasha Long
    Department of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
  • Tiefeng Jin
    Cancer Centre, Faculty of Health Sciences, University of Macau, Macau, SAR, 999078, China.
  • Lei Gu
    School of Automation, Central South University, Changsha 410083, China.
  • Jianer Chen
    The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.