A novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional bank

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dc.authorid0000-0002-7008-4778
dc.authorid0000-0002-4597-0954
dc.authorid0000-0003-1562-5524
dc.contributor.authorGürkan, Hakanen_US
dc.contributor.authorGüz, Ümiten_US
dc.contributor.authorYarman, Bekir Sıddık Binboğaen_US
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-05T16:05:06Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-05T16:05:06Z
dc.date.issued2004
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractIn this paper, a new method to model EMG signals by means of "Predefined Signature and Envelope Functional Banks (PSEB)" is presented. Since EMG signals present quasi-stationary behavior, any EMG signal Xi is modeled by the form of Xi ? Ci?K?R on a frame bases in this work. In this model, ?R is defined as the Predefined Signature Vector (PSV); ?K is referred to as Predefined Envelope Vector (PEV) and Ci is called the Frame-Scaling Coefficient (FSC). EMG signal for each frame is described in terms of the two indices "R" and "K" of PSEB and the frame -scaling coefficient Ci. Furthermore, It has been shown that the new method of modeling provides significant data compression while preserving the clinical information in the reconstructed signal.en_US
dc.description.sponsorshipIEEE, Circuits & Syst Socen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationGürkan, H., Güz, Ü. & Yarman, B. S. B. (2004). A novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional bank. Paper presented at the Proceedings - IEEE International Symposium on Circuits and Systems, 4, 69-72. doi:10.1109/ISCAS.2004.1328942en_US
dc.identifier.doi10.1109/ISCAS.2004.1328942
dc.identifier.endpage72
dc.identifier.isbn078038251X
dc.identifier.issn0271-4310
dc.identifier.scopus2-s2.0-4344634328
dc.identifier.scopusqualityN/A
dc.identifier.startpage69
dc.identifier.urihttps://hdl.handle.net/11729/2049
dc.identifier.urihttps://dx.doi.org/10.1109/ISCAS.2004.1328942
dc.identifier.volume4
dc.identifier.wosWOS:000223102600018
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorGürkan, Hakanen_US
dc.institutionauthorGüz, Ümiten_US
dc.institutionauthorYarman, Bekir Sıddık Binboğaen_US
dc.institutionauthorid0000-0002-7008-4778
dc.institutionauthorid0000-0002-4597-0954
dc.institutionauthorid0000-0003-1562-5524
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClinical diagnosisen_US
dc.subjectClinical informationen_US
dc.subjectCorrelation methodsen_US
dc.subjectData compressionen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.subjectElectrocardiographyen_US
dc.subjectElectroencephalographyen_US
dc.subjectElectromyogram signalen_US
dc.subjectElectromyographyen_US
dc.subjectEMG signalsen_US
dc.subjectEncodingen_US
dc.subjectEnvelope functional banken_US
dc.subjectEnvelope functional banksen_US
dc.subjectError analysisen_US
dc.subjectFrame scaling coefficienten_US
dc.subjectLeast squares approximationen_US
dc.subjectMathematical modelsen_US
dc.subjectMatrix algebraen_US
dc.subjectMuscleen_US
dc.subjectMusclesen_US
dc.subjectNeurologyen_US
dc.subjectNeuromuscularen_US
dc.subjectPatient diagnosisen_US
dc.subjectPower capacitorsen_US
dc.subjectPredefined envelope vectoren_US
dc.subjectPulse modulationen_US
dc.subjectRoot mean square (RMS) errorsen_US
dc.subjectSignal analysisen_US
dc.subjectSignal compressionen_US
dc.subjectSignal processingen_US
dc.titleA novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional banken_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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