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Fast wavelet transform in motor unit action potential analysis

dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.editorSzeto Andrew Y.J.en
dc.contributor.editorRangayyan Rangaraj M.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.date.accessioned2019-11-13T10:41:57Z
dc.date.available2019-11-13T10:41:57Z
dc.date.issued1993
dc.identifier.isbn0-7803-1377-1
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54820
dc.description.abstractWavelet analysis is a new method for analyzing time and frequency contents of signals. We present the Fast Wavelet Transform (FWT) implemented using B-wavelets and non-circular convolutions in the analysis of Motor Unit Action Potentials (MUAPs). This method allows for the fast extraction of localized frequency components of MUAPs that may prove to be valuable in the early and accurate diagnosis of neuromuscular disorders.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-s2.0-0027814881&partnerID=40&md5=b9f9a3f27498f8b17f9e927677a9782a
dc.subjectMathematical modelsen
dc.subjectDiagnosisen
dc.subjectMuscleen
dc.subjectNeurologyen
dc.subjectMathematical transformationsen
dc.subjectSignal processingen
dc.subjectNeuromuscular disordersen
dc.subjectMotor unit action potentialsen
dc.subjectFast wavelet transformen
dc.titleFast wavelet transform in motor unit action potential analysisen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume15
dc.description.startingpage1225
dc.description.endingpage1226
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 :3</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827


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