Surface electromyography based muscle fatigue progression analysis using modified B distribution time-frequency features

被引：36

作者：

Karthick, P. A. ^{[1
]}

Ramakrishnan, S. ^{[1
]}

机构：

[1] Indian Inst Technol Madras, Noninvas Imaging & Diagnost Lab, Biomed Engn Grp, Dept Appl Mech, Madras 600036, Tamil Nadu, India

来源：

BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2016年 / 26卷

关键词：

sEMG; Time-frequency distribution; Muscle fatigue progression; Instantaneous spectral ratio; Low frequency band; Medium frequency band; High frequency band; EMG SIGNAL; DYNAMIC CONTRACTIONS; MYOELECTRIC SIGNALS; REPRESENTATION; TRANSFORM;

D O I：

10.1016/j.bspc.2015.12.007

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this work, an attempt has been made to analyze the progression of muscle fatigue using surface electromyography (sEMG) signals and modified B distribution (MBD) based time-frequency analysis. For this purpose, signals are recorded from biceps brachii muscles of fifty healthy adult volunteers during dynamic contractions. The recorded signals are preprocessed and then subjected to MBD based time-frequency distribution (TFD). The instantaneous median frequency (IMDF) is extracted from the time-frequency matrix for different values of kernel parameter. The linear regression technique is used to model the temporal variations of IMDF. Correlation coefficient is computed in order to select the appropriate value for kernel parameter of MBD based TFD. Further, extended version of frequency domain features namely instantaneous spectral ratio (InstSPR) at low frequency band (LFB), medium frequency band (MFB) and high frequency band (HFB) are extracted from the time-frequency spectrum. In addition to these features, IMDF and instantaneous mean frequency (IMNF) are also calculated. The least square error based linear regression technique is used to track the slope variations of these features. The results show that MBD based time-frequency spectrum is able to provide the instantaneous variations of frequency components associated with fatiguing contractions. The values of InstSPR at MFB and HFB regions, IMDF and IMNF show a decreasing trend during the progression of muscle fatigue. However, an increasing trend is observed in LFB regions. Further the coefficient of variation is calculated for all the features. It is found that the values of IMDF, IMNF and InstSPR in LFB region have lowest variability across different subjects in comparison with other two features. It appears that this method could be useful in analyzing various neuromuscular activities in normal and abnormal conditions. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：42 / 51

页数：10

共 40 条

[1] The relationship between EMG median frequency and low frequency band amplitude changes at different levels of muscle capacity [J].