Negentropy analysis of surface electromyogram signal

K. Nazarpour, A. R. Sharafat, S. M. Firoozabadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This study deals with measuring the non-Gaussianity in surface electromyogram signal (sEMG). The signal was obtained from biceps brachii muscle during elbow flexion at four different levels of maximum voluntary contraction (MVC). Typically the sEMG generated from constant-force, constant angle, non-fatiguing contractions is modelled as a stochastic process, and its probability density function (pdf) is assumed to be Gaussian. Results of utilizing negentropy for characterizing the non-Gaussianity of sEMG signal indicate that its pdf is clearly non-Gaussian during light contractions (below 30% of MVC) and it tends to a Gaussian process at higher force levels. The results validate the application of higher order statistics (HOS) based methods in sEMG signal processing at low levels of MVC.
Original languageEnglish
Title of host publicationIEEE/SP 13th Workshop on Statistical Signal Processing, 2005
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)0-7803-9403-8
Publication statusPublished - 20 Jul 2005
EventIEEE/SP 13th Workshop on Statistical Signal Processing, 2005 - Bordeaux, France
Duration: 17 Jul 200520 Jul 2005

Publication series

ISSN (Print)2373-0803


WorkshopIEEE/SP 13th Workshop on Statistical Signal Processing, 2005


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