Kurtosis and negentropy investigation of myo electric signals during different MVCs

Ganesh R. Naik, Dinesh K. Kumar, Sridhar P. Arjunan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

This research deals with computing the non-Gaussianity in Surface Electromyogram signal (sEMG) using Negative entropy and Kurtosis values. The signal was acquired from three different finger and wrist actions at four different levels of Maximum Voluntary Contractions (MVCs). Our experimental analysis shows that at constant force and for non-fatiguing contractions, probability density function (pdf) of sEMG signals were non-Gaussian. For lesser MVCs (below 30% of MVC) pdf measures tends to be Gaussian process. The above measures were verified by computing the kurtosis values for different MVCs.

Original languageEnglish
Title of host publicationISSNIP Biosignals and Biorobotics Conference 2011
Subtitle of host publicationBiosignals and Robotics for Better and Safer Living
Place of PublicationVitoria
PublisherIEEE
Pages40-43
Number of pages4
ISBN (Print)9781424482122
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011 - Vitoria, Brazil
Duration: 6 Jan 20118 Jan 2011

Publication series

Name2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011

Conference

Conference2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011
CountryBrazil
CityVitoria
Period6/01/118/01/11

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