《中国康复理论与实践》 ›› 2020, Vol. 26 ›› Issue (9): 1028-1032.doi: 10.3969/j.issn.1006-9771.2020.09.006

• 专题 • 上一篇    下一篇

脑卒中患者运动功能自动化评定研究进展

刘朗1,刘勇国1(),李巧勤1,杨尚明1,金荣疆2,何霞3   

  1. 1.电子科技大学信息与软件工程学院中医知识与数据工程实验室,四川成都市 610054
    2.成都中医药大学养生康复学院, 四川成都市 610075
    3.四川省八一康复中心,四川成都市 610035
  • 收稿日期:2019-03-16 修回日期:2019-05-08 出版日期:2020-09-25 发布日期:2020-09-24
  • 通讯作者: 刘勇国 E-mail:liuyg@uestc.edu.cn
  • 作者简介:刘朗(1995-),男,汉族,四川仪陇县人,硕士研究生,主要研究方向:机器学习研究及应用。|刘勇国(1974-),男,汉族,四川绵阳市人,博士后,教授,博士生导师,主要研究方向:大数据、人工智能、互联网+健康医疗。
  • 基金资助:
    1.四川省社会发展领域重大项目(2019YFS0019);2.四川省重点研发计划项目(2018GZ0192)

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)

摘要:

采用量表方式对脑卒中患者进行运动功能评定,存在效率低、主观性强等不足。基于传感器技术和机器学习方法的脑卒中运动功能自动化评定,可针对脑卒中患者的运动控制、平衡、步态、关节活动度等运动功能进行自动化评定,开发了许多产品。

关键词: 脑卒中, 运动功能, 自动化评定, 综述

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