基于姿态与力测量的手功能自动康复评估方法  

An Automatic Rehabilitation Evaluation Method of Hand Function Based on Attitude and Force Measurement

作　　者：白敬 王智贤 温秀兰[3] BAI Jing;WANG Zhixian;WEN Xiulan(Industrial Technology Research Institute of Intelligent Equipment,Nanjing Institute of Technology,Nanjing 211167,China;Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment,Nanjing 211167,China;School of Automation,Nanjing Institute of Technology,Nanjing 211167,China)

机构地区：[1]南京工程学院智能装备产业技术研究院,江苏南京211167 [2]江苏省智能制造装备工程实验室,江苏南京211167 [3]南京工程学院自动化学院,江苏南京211167

出　　处：《测控技术》2024年第4期77-82,共6页Measurement & Control Technology

基　　金：江苏省自然科学基金青年基金项目(BK20210930);江苏省高等学校自然科学研究面上项目(21KJB510039);南京工程学院引进人才科研启动基金(YKJ2019113)。

摘　　要：脑卒中后约70%的患者存在手部功能障碍,需要长期进行康复治疗。康复评估是制定康复治疗方案的科学依据。现有手功能评定方法需要有经验的医生指导患者完成目标任务,其评分机制具有一定的主观性,而且持续时间较长,整个评估过程不仅费力、复杂,还降低了患者的舒适度。目前仍缺乏准确的手功能自动评估系统,开发客观、定量、可靠的测量设备,实现手功能自动评估在康复医学中具有重要意义。因此,提出一种基于柔性阵列式薄膜压力传感器(Flexible Array Pressure Sensor,FAPS)和RGBD相机的自动Fugl-Meyer手功能评估系统。该系统采用Leap Motion双目视觉传感器跟踪手部/手腕的运动姿态,将FAPS分别附着在5种抓握工具上,记录5种抓握方式下手部的力信息。设计包含教学视频的上位机平台,指导患者康复评估动作。分别提取运动姿态和力信息的特征值,设计基于不同条件的逻辑规则分类方法进行每个动作的评定。进行了初步实验,结果证明该系统可用于手部运动功能的康复评估。About 70%of post-stroke patients have hand dysfunction and need long-term rehabilitation treatment.Rehabilitation evaluation is the scientific basis for the formulation of rehabilitation treatment programs.The clinical hand function assessment requires experienced doctors to guide patients to complete the target task in the process of evaluation and its scoring mechanism is subjective and lasts for a long time.The whole evaluation process is not only laborious,but also complex,which reduces the comfort of patients.There is still a lack of accurate automatic evaluation system of hand function at present.The development of objective,quantitative and reliable measuring equipment to realize the automatic evaluation of hand function is of great significance in rehabilitation.Therefore,an automatic Fugl-Meyer hand function evaluation system based on flexible array pressure sensor(FAPS)and RGBD camera is proposed.The system uses Leap Motion binocular vision sensor to track the movement posture of the hand/wrist,attaches the FAPS to five grasping tools to record the force information of the hand part of the five grasping methods.An upper machine plateform including teching video is designed to guide patients'rehabilitation assessment actions.The features of motion posture and force information are extracted respectively,and a classification method based on different logic rules is designed to evaluate each movement.Preliminary experiments are conducted,and the results show that this method can be used for rehabilitation evaluation of hand motor function.

关 键 词：康复评估 手功能 柔性阵列式薄膜压力传感器 逻辑规则 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] R496[自动化与计算机技术—控制科学与工程]