基于工作空间测量的居家脑卒中患者上肢康复训练评估系统  

Upper extremity rehabilitation training and assessment system for home stroke patients based on workplace measurement

作　　者：白敬 宋爱国[1] 李会军[1] 徐宝国[1] Bai Jing;Song Aiguo;Li Huijun;Xu Baoguo(School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China)

机构地区：[1]东南大学仪器科学与工程学院

出　　处：《仪器仪表学报》2018年第4期74-81,共8页Chinese Journal of Scientific Instrument

基　　金：国家重点研发计划项目(2016YFB1001301);国家自然科学基金重点项目(91648206)资助

摘　　要：由于脑卒中患者不便进行自主居家康复训练与评估,提出一种基于工作空间测量的居家脑卒中患者上肢康复训练评估系统。该系统根据上肢的工作空间设计了上肢康复训练运动协议,指导患者进行康复训练;设计虚拟场景,提高患者的积极性;根据上肢末端运动轨迹,拟合上肢工作空间范围包络面,分析工作空间相对表面积（RSA）,运用动态时间规整算法（DTW）计算患者与正常人上肢运动角度的差距;并建立基于自适应网络模糊推理系统（ANFIS）的上肢评估模型。招募13位受试者进行康复训练与评估实验,结果分析表明,该上肢评估模型对样本的正确识别率为95%。该系统可以引导患者进行无医生监督的居家康复训练与评估,是一种简单便捷的康复训练评估方法。Due to the inconvenience of self-home rehabilitation training and assessment for stroke patients,this paper proposes an upper limb rehabilitation training and assessment system for stroke patients at home based on workplace measurement. According to the working space of the upper limbs,a movement protocol is designed to guide patients in rehabilitation training. The virtual scene is designed to improve the patient＇s enthusiasm. Based on the movement trajectory of the upper extremity,the envelope of the working space is fitted.The relative surface area（ RSA） of the working space is also analyzed. The difference of upper extremity motion angle between patient and normal iscalculated by dynamic time warping algorithm（ DTW）. In addition,the upper limb assessment model is established by utilizing the adaptive neuro fuzzy inference system（ ANFIS）. Thirteen subjects are enrolled in the rehabilitation training and evaluation experiment. Experimental results show that the correct recognition rate of the samples by the ANFIS upper limb assessment model is95%. The system can guide patients to do home-based rehabilitation training and evaluation without doctor＇s supervision easily,which is a simple and convenient method of rehabilitation training and assessment.

关 键 词：上肢 工作空间 康复训练 康复评估 自适应网络模糊推理系统 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术] TH89[自动化与计算机技术—计算机科学与技术]