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dc.contributor.authorKaplanis, P. A.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorHadjileontiadis, L. J.en
dc.contributor.authorRoberts, V. C.en
dc.creatorKaplanis, P. A.en
dc.creatorPattichis, Constantinos S.en
dc.creatorHadjileontiadis, L. J.en
dc.creatorRoberts, V. C.en
dc.date.accessioned2019-11-13T10:40:37Z
dc.date.available2019-11-13T10:40:37Z
dc.date.issued2009
dc.identifier.issn1050-6411
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54216
dc.description.abstractThe objective of this study was to compute reference SEMG values for normal subjects of 13 parameters extracted in the time, frequency and bispectrum domain, from the Biceps Brachii (BB) muscle generated under isometric voluntary contraction (IVC). SEMG signals were recorded from 94 subjects for 5 s at 10, 30, 50, 70 and 100% of maximum voluntary contraction (MVC). The Wilcoxon signed rank test was applied to detect significant differences or not at p < 0.05 between force levels for each of the 13 parameters. The main findings of this study can be summarized as follows: (i) The time domain parameters turns per second and number of zero crossings per second increase significantly with force level. (ii) The power spectrum median frequency parameter decreases significantly with force level, whereas maximum power and total power increase significantly with force level. (iii) The bispectrum parameter, maximum amplitude, increases significantly with force level with the exception the transition from 30% to 50% MVC. Although, the tests for Gaussianity and linearity show no significant difference with force level, the SEMG signal exhibits a more Gaussian distribution with increase of force up to 70% MVC. The SEMG linearity test, which is a measure of how constant the bicoherence index is in the bi-frequency domain, shows that the signal's bicoherence index is less constant (hence, the signal is less linear) at 70% of MVC compared to 10, 30, 50 and 100% MVC. (iv) The time domain parameters have good correlation between them as well as, between each one of them and maximum and total power. The median frequency has a good (negative) correlation with the bispectrum peak amplitude. (v) No significant differences exist between values based on gender or age. The findings of this study can further be used for the assessment of subjects suffering with neuromuscular disorders, or in the rehabilitation laboratory for monitoring the elderly or the disabled, or in the occupational medicine laboratory. © 2007 Elsevier Ltd. All rights reserved.en
dc.sourceJournal of Electromyography and Kinesiologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-55749093395&doi=10.1016%2fj.jelekin.2007.03.010&partnerID=40&md5=26d979c7a1e029ba5dcc91dc6229d0dd
dc.subjectchilden
dc.subjectarticleen
dc.subjectYoung Adulten
dc.subjecthumanen
dc.subjectHumansen
dc.subjectadulten
dc.subjectageden
dc.subjectfemaleen
dc.subjectMiddle Ageden
dc.subjectpriority journalen
dc.subjectadolescenten
dc.subjectmaleen
dc.subjectcorrelation analysisen
dc.subjectSignal Processing, Computer-Assisteden
dc.subjectTime domain analysisen
dc.subjecthuman experimenten
dc.subjectnormal humanen
dc.subjectMuscle, Skeletalen
dc.subjectChild, Preschoolen
dc.subjectpower spectrumen
dc.subjectelectromyographyen
dc.subjectSEMGen
dc.subjectIsometric Contractionen
dc.subjectneuromuscular diseaseen
dc.subjectPower spectrum analysisen
dc.subjectamplitude modulationen
dc.subjectArmen
dc.subjectbiceps brachii muscleen
dc.subjectbispectral indexen
dc.subjectBispectrum analysisen
dc.subjectmuscle forceen
dc.subjectmuscle isometric contractionen
dc.subjectnormal distributionen
dc.subjectWilcoxon signed ranks testen
dc.titleSurface EMG analysis on normal subjects based on isometric voluntary contractionen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.jelekin.2007.03.010
dc.description.volume19
dc.description.issue1
dc.description.startingpage157
dc.description.endingpage171
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.source.abbreviationJ.Electromyogr.Kinesiologyen
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.gnosis.orcid0000-0003-1271-8151


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