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Bispectral analysis of EMG at different levels of force

dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorConstantinou, Renosen
dc.contributor.authorSpyrou, S.en
dc.contributor.authorSchizas, Christos N.en
dc.contributor.authorMiddleton, Lefkos T.en
dc.contributor.editorSzeto Andrew Y.J.en
dc.contributor.editorRangayyan Rangaraj M.en
dc.creatorPattichis, Constantinos S.en
dc.creatorConstantinou, Renosen
dc.creatorSpyrou, S.en
dc.creatorSchizas, Christos N.en
dc.creatorMiddleton, Lefkos T.en
dc.date.accessioned2019-11-13T10:41:54Z
dc.date.available2019-11-13T10:41:54Z
dc.date.issued1993
dc.identifier.isbn0-7803-1377-1
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54798
dc.description.abstractBispectral analysis suggests that EMG is highly non-Gaussian at force level (FL) = 10% of maximum voluntary contractionen
dc.description.abstractthe value of the test statistic for Gaussianity decreases with increasing FL up to 70%, and then slightly increases at FL = 100%. Furthermore the magnitude of the bispectrum increases with force.en
dc.publisherPubl by IEEEen
dc.sourceProceedings of the Annual Conference on Engineering in Medicine and Biologyen
dc.sourceProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 3 (of 3)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0027887988&partnerID=40&md5=6a4b52c8b53dbeb0c301733149549694
dc.subjectNeurologyen
dc.subjectSpectrum analysisen
dc.subjectBiomedical engineeringen
dc.subjectElectromyographyen
dc.subjectMaximum voluntary contractionen
dc.subjectMotor unit action potentialsen
dc.subjectBispectral analysisen
dc.subjectInterference patternen
dc.titleBispectral analysis of EMG at different levels of forceen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume15
dc.description.startingpage1223
dc.description.endingpage1224
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Eli Lilly and Companyen
dc.description.notesIFACen
dc.description.notesNational Institutes of Healthen
dc.description.notesNational Science Foundationen
dc.description.notesNIH Resource on Biomedical Sensor Technologyen
dc.description.notesConference code: 19904en
dc.description.notesCited By :1</p>en
dc.contributor.orcidSchizas, Christos N. [0000-0001-6548-4980]
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.gnosis.orcid0000-0001-6548-4980
dc.gnosis.orcid0000-0003-1271-8151


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