Advance in Automatic Assessment of Motor Function for Patients with Stroke (review)
10.3969/j.issn.1006-9771.2020.09.006
- VernacularTitle:脑卒中患者运动功能自动化评定研究进展
- Author:
Lang LIU
1
;
Yong-guo LIU
1
;
Qiao-qin LI
1
;
Shang-ming YANG
1
;
Rong-jiang JIN
2
;
Xia HE
3
Author Information
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
- Publication Type:Research Article
- Keywords:
stroke;
motor function;
automatic assessment;
review
- From:
Chinese Journal of Rehabilitation Theory and Practice
2020;26(9):1028-1032
- CountryChina
- Language:Chinese
-
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.
