足下垂功能性电刺激自适应阈值启停控制算法研究  

Adaptive threshold start-stop control algorithm for functional electrical stimulation of foot drop

作　　者：陈建国[1] 丁建华 陈楷 李玉榕[1] CHEN Jianguo;DING Jianhua;CHEN Kai;LI Yurong(College of Electrical Engineering and Automation,Fujian Key Lab of Medical Institute and Pharmaceutical Technology,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学电气工程与自动化学院,福建省医疗器械和医药技术重点实验室,福建福州350108

出　　处：《实验技术与管理》2020年第11期72-78,共7页Experimental Technology and Management

基　　金：国家自然科学基金项目(61773124);福建省自然科学基金项目(2019J01544)。

摘　　要：利用功能性电刺激治疗足下垂患者,是通过刺激患者的胫骨前肌,诱发肌肉收缩,使足尖上抬而改善步态。为了能在患者患肢摆动阶段对胫骨前肌施加功能性电刺激,该文提出了一种自适应阈值启停控制算法。该算法通过前2个步态周期信息更新检测脚尖离地时刻的阈值,实现在线检测脚尖离地(toe off,TO)和脚跟着地(heel strike,HS)2个步态事件。利用该算法分别对3名患者的角速度信号进行检测,3名患者提前检测到脚尖离地点的最大时间分别为216.0、54.0和310.5 ms,滞后检测到脚尖离地点的时间均为6.7 ms,滞后检测到脚跟着地点的最大时间均为54.0ms。结果表明,该算法可以实时检测脚尖离地时刻和脚跟着地时刻,从而准确安全地控制功能性电刺激开启和停止。Functional electrical stimulation is used to treat patients with foot drop.stimulating the anterior tibial muscles of the patients,which inducing muscle contraction,can raise toes to improve gait.In order to apply functional electrical stimulation to the anterior tibial muscle during the swing stage of the affected limb,an adaptive threshold start-stop control method was proposed.The algorithm updates the threshold value at the moment when the toes leave the ground through the information of the first two gait cycles,and realizes the online detection of two gait events:toe off(TO)and heel strike(HS).Using the algorithm to detect the angular velocity signals of three patients,the maximum time for the three patients to detect the toe-off point in advance was 216.0,54.0 and 310.5 ms,and the time for lag-detected toe-off point was 6.7 ms.The maximum time for lag-detected heel strike was 54.0 ms.The results show that the algorithm can detect the moment of toe off and heel strike in real time,so as to accurately and safely control the start and stop of functional electrical stimulation.

关 键 词：功能性电刺激 自适应阈值 脚跟着地 脚尖离地 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]