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无线表面肌电信号记录系统及其在肌肉疲劳检测中的应用。

A wireless sEMG recording system and its application to muscle fatigue detection.

机构信息

Department of Photonics and Communication Engineering, Asia University, Taichung 41349, Taiwan.

出版信息

Sensors (Basel). 2012;12(1):489-99. doi: 10.3390/s120100489. Epub 2012 Jan 5.

DOI:10.3390/s120100489
PMID:22368481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3279225/
Abstract

Surface electromyography (sEMG) is an important measurement for monitoring exercise and fitness. Because if its high sampling frequency requirement, wireless transmission of sEMG data is a challenge. In this article a wireless sEMG measurement system with a sampling frequency of 2 KHz is developed based upon a MSP 430 microcontroller and Bluetooth transmission. Standard isotonic and isometric muscle contraction are clearly represented in the receiving user interface. Muscle fatigue detection is an important application of sEMG. Traditional muscle fatigue is detected from the median frequency of the sEMG power spectrum. The regression slope of the linear regression of median frequency is an important muscle fatigue index. A more negative slope value represents a higher muscle fatigue condition. To test the system performance, muscle fatigue detection was examined by having subjects run on a pedaled-multifunctional elliptical trainer for approximately 30 minutes at three loading levels. Ten subjects underwent a total of 60 exercise sessions to provide the experimental data. Results showed that the regression slope gradually decreases as expected, and there is a significant gender difference.

摘要

表面肌电图(sEMG)是监测运动和健康的重要测量手段。由于其对采样频率的高要求,sEMG 数据的无线传输是一项挑战。本文基于 MSP430 微控制器和蓝牙传输开发了一种采样频率为 2 KHz 的无线 sEMG 测量系统。在接收用户界面中清晰地表示了标准等张和等长的肌肉收缩。肌肉疲劳检测是 sEMG 的一个重要应用。传统的肌肉疲劳是从 sEMG 功率谱的中值频率来检测的。中值频率线性回归的回归斜率是一个重要的肌肉疲劳指标。斜率值越负,表示肌肉疲劳程度越高。为了测试系统性能,通过让受试者在脚踏多功能椭圆训练器上以三种负载水平进行大约 30 分钟的运动来进行肌肉疲劳检测。10 名受试者总共进行了 60 次运动,提供了实验数据。结果表明,回归斜率如预期的那样逐渐降低,并且存在显著的性别差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/455af52544cc/sensors-12-00489f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/2c39735e107f/sensors-12-00489f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/53f75ee35f47/sensors-12-00489f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/8b4f7f853bf4/sensors-12-00489f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/acccd959017b/sensors-12-00489f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/0a65542448ac/sensors-12-00489f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/6b028f114307/sensors-12-00489f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/455af52544cc/sensors-12-00489f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/2c39735e107f/sensors-12-00489f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/53f75ee35f47/sensors-12-00489f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/8b4f7f853bf4/sensors-12-00489f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/acccd959017b/sensors-12-00489f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/0a65542448ac/sensors-12-00489f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/6b028f114307/sensors-12-00489f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de4f/3279225/455af52544cc/sensors-12-00489f7.jpg

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