《Chinese Journal of Rehabilitation Theory and Practice》 ›› 2020, Vol. 26 ›› Issue (9): 1028-1032.doi: 10.3969/j.issn.1006-9771.2020.09.006

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Advance in Automatic Assessment of Motor Function for Patients with Stroke (review)

LIU Lang1,LIU Yong-guo1(),LI Qiao-qin1,YANG Shang-ming1,JIN Rong-jiang2,HE Xia3   

  1. 1. Knowledge and Data Engineering Laboratory of Chinese Medicine, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
    2. College of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
    3. Sichuan 81 Rehabilitation Center, Chengdu, Sichuan 610035, China
  • Received:2019-03-16 Revised:2019-05-08 Published:2020-09-25 Online:2020-09-24
  • Contact: LIU Yong-guo E-mail:liuyg@uestc.edu.cn
  • Supported by:
    Sichuan Science and Technology Program for Social Development(2019YFS0019);Sichuan Science and Technology Program(2018GZ0192)

Abstract:

There were some disadvantages such as low efficiency and strong subjectivity for scale-based assessment for motor dysfunction after stroke. Recently, automatic assessment approaches based on sensor technology and machine learning were developed, which can be used for motor function assessment of stroke patients in terms of motion control, balance, gait and range of motion, etc.

Key words: stroke, motor function, automatic assessment, review