个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:控制科学与工程学院
学科:控制理论与控制工程. 模式识别与智能系统
电子邮箱:zhaohy@dlut.edu.cn
Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment
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论文类型:期刊论文
发表时间:2018-01-01
发表刊物:IEEE ACCESS
收录刊物:SCIE
卷号:6
页面范围:31249-31258
ISSN号:2169-3536
关键字:Body-worn sensors; rehabilitation assessment; precision medicine; stroke victims; gait impairment
摘要:Improving health is an important driving factor of sensor technology applications. To meet the demands of precision medicine for medical rehabilitation and elderly guardianship, using wearable sensors to get kinematics, kinetics, and biochemical information has become an interdisciplinary research hotspot recently. This paper proposed a low-cost, intelligent, and lightweight wearable platform for rehabilitation assessment in stroke victims with gait impairment. The paper starts from the sensor physical properties and human physiology structure, and aims to solve sensor drift problem by zero velocity update algorithm. A complementary filter based on proportional integral controller was adopted to eliminate computational errors. Preliminary clinical gait experiments results showed that the protocol we have designed according to the proposed guidelines had demonstrated to be operatively simple and efficient compared with existing methods. The expectation of this case study is to develop a dedicated tool for supporting diagnosis and rehabilitation in the hospital.