DocumentCode :
174157
Title :
Analysis of fatigue conditions in triceps brachii muscle using sEMG signals and spectral correlation density function
Author :
Marri, Kiran ; Krishna, Navaneetha M. ; Jose, Jithin ; Karthick, P.A. ; Ramakrishnan, Shankar
Author_Institution :
Dept. of Appl. Mech., Indian Inst. of Technol. Madras, Chennai, India
fYear :
2014
fDate :
23-24 May 2014
Firstpage :
1
Lastpage :
4
Abstract :
Fatigue is a phenomena associated with reduction of maximum force in muscles while performing functional activities. Assessment of fatigue is important in the field of clinical conditions, rehabilitation and sports. In this work, an attempt has been made to discriminate fatigue and non-fatigue conditions using cyclostationary analysis. The surface electromyography (sEMG) signals are recorded from triceps brachii muscles of 15 adult normal subjects during dynamic contractions. These signals are subjected to cyclostationary analysis using spectral correlation density function (SCD). Fast Fourier transform accumulation algorithm is adopted to estimate the SCD. To distinguish fatigue and non-fatigue conditions, two features namely sum and entropy are extracted from SCD coefficients. The results show that magnitude and number of peaks in SCD spectrum are higher in fatigue conditions. Moreover, the extracted features are distinct in muscle contraction zones. This method appears to be useful in analyzing the sEMG signals during muscle fatigue condition.
Keywords :
biomechanics; correlation methods; data analysis; electromyography; entropy; fast Fourier transforms; feature extraction; medical signal processing; signal classification; spectral analysis; SCD coefficient entropy extraction; SCD coefficient sum extraction; SCD estimation; SCD spectrum peak magnitude; SCD spectrum peak number; clinical conditions; cyclostationary analysis; dynamic contractions; fast Fourier transform accumulation algorithm; feature extraction; maximum muscle force reduction; muscle contraction zones; muscle fatigue assessment; muscle fatigue condition discrimination; muscle functional activities; nonfatigue muscle condition discrimination; rehabilitation; sEMG signal analysis; sEMG signals; spectral correlation density function; sports; surface electromyography signal recording; triceps brachii muscle fatigue condition analysis; Correlation; Density functional theory; Electromyography; Entropy; Fatigue; Feature extraction; Muscles; Dynamic contraction; FFT accumulation method; Muscle fatigue; Spectral Correlation Density Function; Surface EMG; Triceps Brachii;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-5179-6
Type :
conf
DOI :
10.1109/ICIEV.2014.6850827
Filename :
6850827
Link To Document :
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