《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
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:
LIU Lang1,LIU Yong-guo1(),LI Qiao-qin1,YANG Shang-ming1,JIN Rong-jiang2,HE Xia3
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:
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。
刘朗,刘勇国,李巧勤,杨尚明,金荣疆,何霞. 脑卒中患者运动功能自动化评定研究进展[J]. 《中国康复理论与实践》, 2020, 26(9): 1028-1032.
LIU Lang,LIU Yong-guo,LI Qiao-qin,YANG Shang-ming,JIN Rong-jiang,HE Xia. Advance in Automatic Assessment of Motor Function for Patients with Stroke (review)[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2020, 26(9): 1028-1032.
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