Influence of MVC on temporal and spectral features of simulated surface electromyographic signals

dc.contributor.authorBelkacem, S.
dc.contributor.authorBekka, R.E.
dc.contributor.authorMessaoudi, N.
dc.date.accessioned2021-01-17T08:42:43Z
dc.date.available2021-01-17T08:42:43Z
dc.date.issued2019
dc.description.abstractThe main aim of the present study was to examine the effect of the maximum voluntary contraction (MVC) on the mean absolute value (MAV) and on the median frequency (MDF) of simulated surface electromyographic (sEMG) signals generated in a cylindrical, multilayer, volume conductor constituted by bone, muscle, fat, and skin layers and detected by the longitudinal single (LSD) and double (LDD) differential systems. The study was made for two values (5 and 10 mm) of the interelectrode distances (IED) and three values (20, 25, and 30 Hz) of the peak firing rate (PFR) of the first recruited motor unit (MU) in the case of narrow (30%) and broad (70%) recruitment ranges (RRs) of MU when the MVC level varied from 10% to 100% in steps of 10%. The results show that an increase of MVC level leads to an increase of MAV and a decrease of MDF of the simulated sEMG signals. Moreover, for the same RR of MU, the MAV values were larger for the large IED and the large PFR. However, with the MDF values, inverse results were obtaineden_US
dc.identifier.issn0278940X
dc.identifier.otherDOI: 10.1615/CritRevBiomedEng.2019029821
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85084806884&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=53df76cdcda42647b35423e93da9f9dc
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/6153
dc.language.isoenen_US
dc.publisherBegell House Inc.en_US
dc.relation.ispartofseriesCritical Reviews in Biomedical Engineering Volume 47, Issue 5, 2019;PP. 409-418
dc.subjectAmplitudeen_US
dc.subjectElectromyographyen_US
dc.subjectFrequencyen_US
dc.subjectMuscular contractionen_US
dc.titleInfluence of MVC on temporal and spectral features of simulated surface electromyographic signalsen_US
dc.typeArticleen_US

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