A note on the probability distribution function of the surface electromyogram signal☆

A note on the probability distribution function of the surface electromyogram signal☆

► We recorded surface EMG signals with a biofeedback setup at 7 different contraction levels. ► We estimated the PDF, kurtosis and bicoherence index of the measured signals. ► We show that the EMG PDF at low contraction levels is super-Gaussian. ► At higher contraction forces, the EMG PDF tends to a...

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Main Authors: Nazarpour, Kianoush, Al-Timemy, Ali H., Bugmann, Guido, Jackson, Andrew
Format: Online
Language:English
Published: Elsevier Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878385/
id pubmed-3878385
recordtype oai_dc
spelling pubmed-38783852014-01-02 A note on the probability distribution function of the surface electromyogram signal☆ Nazarpour, Kianoush Al-Timemy, Ali H. Bugmann, Guido Jackson, Andrew Research Report ► We recorded surface EMG signals with a biofeedback setup at 7 different contraction levels. ► We estimated the PDF, kurtosis and bicoherence index of the measured signals. ► We show that the EMG PDF at low contraction levels is super-Gaussian. ► At higher contraction forces, the EMG PDF tends to a Gaussian distribution. Elsevier Science 2013-01 /pmc/articles/PMC3878385/ /pubmed/23047056 http://dx.doi.org/10.1016/j.brainresbull.2012.09.012 Text en © 2013 Elsevier Inc. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Nazarpour, Kianoush
Al-Timemy, Ali H.
Bugmann, Guido
Jackson, Andrew
spellingShingle Nazarpour, Kianoush
Al-Timemy, Ali H.
Bugmann, Guido
Jackson, Andrew
A note on the probability distribution function of the surface electromyogram signal☆
author_facet Nazarpour, Kianoush
Al-Timemy, Ali H.
Bugmann, Guido
Jackson, Andrew
author_sort Nazarpour, Kianoush
title A note on the probability distribution function of the surface electromyogram signal☆
title_short A note on the probability distribution function of the surface electromyogram signal☆
title_full A note on the probability distribution function of the surface electromyogram signal☆
title_fullStr A note on the probability distribution function of the surface electromyogram signal☆
title_full_unstemmed A note on the probability distribution function of the surface electromyogram signal☆
title_sort note on the probability distribution function of the surface electromyogram signal☆
description ► We recorded surface EMG signals with a biofeedback setup at 7 different contraction levels. ► We estimated the PDF, kurtosis and bicoherence index of the measured signals. ► We show that the EMG PDF at low contraction levels is super-Gaussian. ► At higher contraction forces, the EMG PDF tends to a Gaussian distribution.
publisher Elsevier Science
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878385/
_version_ 1612043406386659328

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