Analysis of muscle fatigue conditions using time-frequency images and GLCM features

Analysis of muscle fatigue conditions using time-frequency images and GLCM features

In this work, an attempt has been made to differentiate muscle non-fatigue and fatigue conditions using sEMG signals and texture representation of the time-frequency images. The sEMG signals are recorded from the biceps brachii muscle of 25 healthy adult volunteers during dynamic fatiguing contracti...

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Bibliographic Details
Main Authors:	Karthick P.A., Navaneethakrishna M., Punitha N., Fredo A.R. Jac, Ramakrishnan S.
Format:	Article
Language:	English
Published:	De Gruyter 2016-09-01
Series:	Current Directions in Biomedical Engineering
Subjects:	gray-level co-occurrence matrix short time fourier transform surface electromyography time-frequency image
Online Access:	http://www.degruyter.com/view/j/cdbme.2016.2.issue-1/cdbme-2016-0107/cdbme-2016-0107.xml?format=INT

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