脑卒中患者运动功能自动化评定研究进展  

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

作　　者：刘朗 刘勇国 李巧勤[1] 杨尚明 金荣疆 何霞 LIU Lang;LIU Yong-guo;LI Qiao-qin;YANG Shang-ming;JIN Rong-jiang;HE Xia(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;College of Health Preservation and Rehabilitation,Chengdu University of Traditional Chinese Medicine,Chengdu,Sichuan 610075,China;Sichuan 81 Rehabilitation Center,Chengdu,Sichuan 610035,China)

机构地区：[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

出　　处：《中国康复理论与实践》2020年第9期1028-1032,共5页Chinese Journal of Rehabilitation Theory and Practice

基　　金：四川省社会发展领域重大项目(No.2019YFS0019);四川省重点研发计划项目(No.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。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.

关 键 词：脑卒中 运动功能 自动化评定 综述 

分 类 号：R743.3[医药卫生—神经病学与精神病学]