|本期目录/Table of Contents|

[1]黄金兰,李玉榕△,陈建国.基于微电子机械系统传感器的功能性电刺激系统[J].生物医学工程研究,2015,04:207-211.
 HUANG Jinlan,LI Yurong,CHEN Jianguo.Functional Electrical Stimulation System based on Micro Electro Mechanical System Sensor[J].Journal of Biomedical Engineering Research,2015,04:207-211.
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基于微电子机械系统传感器的功能性电刺激系统(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2015年04期
页码:
207-211
栏目:
出版日期:
2015-12-25

文章信息/Info

Title:
Functional Electrical Stimulation System based on Micro Electro Mechanical System Sensor
文章编号:
1672-6278 (2015)04-0207 -05
作者:
黄金兰12李玉榕12△陈建国12
1.福州大学 电气工程与自动化学院,福州 351018;2.福建省医疗器械和医药技术重点实验室,福州 350001
Author(s):
HUANG Jinlan12LI Yurong12CHEN Jianguo12
1. Electrical Engineering and Automation College Fuzhou University,Fuzhou 350108,China;2.Fujian Key Lab of Medical Institute and Pharmaceutical Technology Fuzhou University,Fuzhou 350001
关键词:
微电子机械系统(MEMS)步态分段功能性电刺激无线足下垂
Keywords:
Micro electro mechanical system(MEMS) Gait segmentation Functional electrical stimulation WirelessFoot drop
分类号:
R318
DOI:
-
文献标识码:
A
摘要:
我们设计了一个基于微电子机械系统(MEMS)传感器的功能性电刺激系统,系统由上位机和下位机两个部分组成,下位机包括信号采集传感器陀螺仪和无线蓝牙芯片,上位机包括电刺激输出系统和无线蓝牙芯片。下位机将采集到的角速度通过无线蓝牙传输给上位机,上位机实时处理接收到的角速度信号,通过步态分段算法检测摆动相,当检测到脚尖离地这个时刻,发出控制信号使电刺激系统输出信号,刺激患者胫前肌使足部产生背屈运动,从而克服足下垂步态。实验中将下位机分别穿戴在大腿、小腿和踝关节三个位置。结果表明,本研究所设计的算法能准确进行步态分段,准确率达97%以上,并且穿戴在小腿和踝关节位置较佳。此系统实现方法简单,且穿戴方便,为足下垂患者康复治疗提供更为安全有效的方法。
Abstract:
In this paper, a functional electrical stimulation system based on MEMS sensor was designed. The system was consists of the upper computer and the lower computer-two parts. The lower computer included signal acquisition sensor gyroscope and wireless Bluetooth chip. The upper computer included the electrical stimulation output system and the wireless Bluetooth chip. The lower machine would acquire the angular speed to transmit to the host computer through the wireless Bluetooth, then the host computer processed the received signal of the angular velocity in real-time, and the swing phase through the gait segmentation algorithm was detected, and the stimulation system to output signal to stimulate the anterior tibial muscle of patients when detecting toes off was controlled which makes the foot produces dorsiflexion motion to overcome the drop foot gait.In the experiment, the lower computer was worn in the thigh, lower leg and ankle joint. The results showed that the proposed algorithm could accurately segment the gait and the accuracy rate was more than 97%, and it was better to wear in the lower leg and ankle joint. This system is simple and easy to wear that provides a safe and effective method for patients with foot drop in rehabilitation.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2015-09-15)福建省自然科学基金资助项目(2013J01227);福建省科技重大项目(2013Y4003);福建省教育厅科技项目 (JK2014001)。△通信作者Email:liyurong@fzu.edu.cn
更新日期/Last Update: 2016-07-15