Non-invasive Techniques to Assess Muscle Fatigue using Biosensors: A Review

被引：0
|
作者：
Sarillee, Mohamed [1 ]
Hariharan, M. [1 ]
Anas, M. N. [1 ]
Omar, M., I [1 ]
Aishah, M. N. [1 ]
Oung, Q. W. [1 ]
机构：
[1] Univ Malaysia Perlis, Sch Mechatron Engn, Biomed Elect Engn, Arau 02600, Perlis, Malaysia
来源：
2014 IEEE 5TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC) | 2014年
关键词：
Muscle fatigue; EMG; MMG; AMG; FREQUENCY-DOMAIN ANALYSIS; DYNAMIC CONTRACTIONS; SKELETAL-MUSCLE; EMG SIGNAL; ELECTROMYOGRAM; RESPONSES; SOUND; TIME; MONITOR; FROG;
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：
Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the muscle, which is a useful parameter to detect muscle fatigue. This review discusses the on existing myogram and various signal processing methods and techniques that have been applied. Towards the end of the paper, challenges and future trends are discussed.
引用
收藏
页码：187 / 192
页数：6
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