Evaluation of higher order statistics parameters for multi channel sEMG using different force levels

Ganesh R. Naik, Dinesh K. Kumar

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

12 Citations (Scopus)

Abstract

![CDATA[The electromyograpy (EMG) signal provides information about the performance of muscles and nerves. The shape of the muscle signal and motor unit action potential (MUAP) varies due to the movement of the position of the electrode or due to changes in contraction level. This research deals with evaluating the non-Gaussianity in Surface Electromyogram signal (sEMG) using higher order statistics (HOS) parameters. To achieve this, experiments were conducted for four different finger and wrist actions at different levels of Maximum Voluntary Contractions (MVCs). Our experimental analysis shows that at constant force and for non-fatiguing contractions, probability density functions (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 publicationProceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), August 30 - September 3, 2011, Boston, MA, USA
PublisherIEEE
Pages3869-3872
Number of pages4
ISBN (Print)9781424441211
DOIs
Publication statusPublished - 2011
EventIEEE Engineering in Medicine and Biology Society. Annual International Conference -
Duration: 11 Jul 2022 → …

Publication series

Name
ISSN (Print)1557-170X

Conference

ConferenceIEEE Engineering in Medicine and Biology Society. Annual International Conference
Period11/07/22 → …

Keywords

  • Gaussian processes
  • electromyography
  • muscles

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