自动康复评定方法在脑卒中运动功能评定中的应用  

Application of automatic rehabilitation evaluation in motor function assessment in stroke patients:a review

作　　者：李文豪 吴凯 李懿[1,2,3] 王冲 陈泽斌 高晨洋 邓泽亚 周静 LI Wenhao;WU Kai;LI Yi;WANG Chong;CHEN Zebin;GAO Chenyang;DENG Zeya;ZHOU Jing(School of Automation Science and Engineering,South China University of Technology,Guangzhou 510006,China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders,Guangzhou 510370,China;Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia,Guangzhou 510500,China;School of Biomedical Sciences and Engineering,South China University of Technology,Guangzhou 511442,China;National Engineering Research Center for Tissue Restoration and Reconstruction,South China University of Technology,Guangzhou 510006,China;Institute for Healthcare Artificial Intelligence Application,Guangdong Second Provincial General Hospital,Guangzhou 510317,China;School of Mechatronic Engineering and Automation,Foshan University,Foshan 528000,China;Brain Power System Co.,Ltd,Guangzhou 510535,China;School of Material Science and Engineering,South China University of Technology,Guangzhou 510006,China)

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510006 [2]广东省精神疾病转化医学工程技术研究中心,广东广州510370 [3]广东省老年痴呆诊断与康复工程技术研究中心,广东广州510500 [4]华南理工大学生物医学科学与工程学院,广东广州511442 [5]华南理工大学国家人体组织功能重建工程技术研究中心,广东广州510006 [6]广东省第二人民医院人工智能医疗应用研究所,广东广州510317 [7]佛山科学技术学院机电工程与自动化学院,广东佛山528000 [8]广州双悠生物科技有限责任公司,广东广州510535 [9]华南理工大学材料科学与工程学院,广东广州510006

出　　处：《中国医学物理学杂志》2023年第7期876-883,共8页Chinese Journal of Medical Physics

基　　金：国家重点研发计划(2019YFC0118800,2019YFC0118805,2019YFC0118804,2019YFC0118802,2020YFC2004300,2020YFC2004301,2021YFC2009400,2021YFC2009404);国家自然科学基金(72174082);广东省科技重点领域研发计划项目(2020B0101130020,2020B0404010002,2018B030335001);广东省自然科学基金杰出青年项目(2021B1515020064);广东省普通高校重点实验室项目(2020KSYS001);广州市科技计划(201903010032,202103000032,202206010077,202206060005,202206080005,202206010034)。

摘　　要：自动康复评定方法依靠各种传感器对脑卒中患者的运动功能进行自动评分或分级,在评定过程中尽量减少甚至无需医师参与,具有评定流程少、评定时间短、评定效率高的优点。本研究概述了自动康复评定的基本原理和一般流程,根据评定的不同角度将自动康复评定方法分为基于运动捕捉技术、神经生理信号和多信息融合3类,从评定原理、传感器、评价指标等多方面总结近年来的研究进展,并分析了自动康复评定方法目前存在的一些难点。The automatic rehabilitation evaluation methods rely on a variety of sensors to automatically score or grade the motor function in stroke patients,which minimizes or even does not require the participation of physicians in the evaluation process,and has the advantages of simple process,quick assessment and high efficiency.Herein the basic principle and the general process of automatic rehabilitation evaluation are reviewed.According to the dimensions of the evaluation,the automatic rehabilitation evaluation methods are divided into 3 categories which are based on motion capture technology,neurophysiological signals,and multi-information combination,respectively.The research advances in recent years are summarized from various aspects such as evaluation principles,sensors,evaluation indicators and others,and the difficulties existing in automatic rehabilitation evaluation are also analyzed.

关 键 词：脑卒中 康复评定 自动评定 运动功能评定 综述 

分 类 号：R318[医药卫生—生物医学工程]