Applying EMG Spike and Peak Counting for a Real-Time Muscle Fatigue Monitoring System

被引：0

作者：

Dayan, Ortal ^{[1
]}

Spulber, Irina ^{[1
]}

Eftekhar, Amir ^{[1
]}

Georgiou, Pantelis ^{[1
]}

Bergmann, Jeroen ^{[2
]}

McGregor, Alison ^{[2
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, EEE, Ctr Bioinspired Technol, London, England

[2] Imperial Coll London, Dept Surg & Canc, London, England

来源：

2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENT | 2012年

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces an electromyography (EMG) signal spike-counter system for quantification of muscle fatigue. Through a study of fatiguing leg extension of the rectus femoris (RF) and vastus lateralis (VL) muscles we show that spike and peak counting in EMG data is significantly correlated (>0.85 R-squared value) with the traditional median frequency (MDF) quantifier for muscle fatigue. This allows for a more computationally efficient and simpler approach using spike counting for an implementation of a real-time muscle fatigue monitoring system.

引用

页码：41 / 44

页数：4

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