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dc.creatorRodríguez Carreño, Ignacioes_ES
dc.creatorGila Useros, Luises_ES
dc.creatorMalanda Trigueros, Armandoes_ES
dc.creatorGarcía Gurtubay, Ignacioes_ES
dc.creatorMallor Giménez, Fermínes_ES
dc.creatorGómez Elvira, Sagrarioes_ES
dc.creatorRodríguez Falces, Javieres_ES
dc.creatorNavallas Irujo, Javieres_ES
dc.date.accessioned2017-08-18T10:39:26Z
dc.date.available2017-08-18T10:39:26Z
dc.date.issued2007
dc.identifier.citationMotor Unit Action Potential Duration, II: A New Automatic Measurement Method Based on the Wavelet Transform: Rodríguez, Ignacio; Gila, Luis; Malanda, Armando; Gurtubay, Ignacio Garcia; Mallor, Fermin; Gómez, Sagrario; Navallas, Javier; Rodríguez, Javier. Journal of Clinical Neurophysiology . 24(1):59-69, February 2007.en
dc.identifier.issn0736-0258 (Print)
dc.identifier.issn1537-1603 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/25203
dc.description.abstractTo present and evaluate a new algorithm, based on the wavelet transform, for the automatic measurement of motor unit action potential (MUAP) duration. A total of 240 MUAPs were studied. The waveform of each MUAP was wavelet-transformed, and the start and end points were estimated by regarding the maxima and minima points in a particular scale of the wavelet transform. The results of the new method were compared with the gold standard of duration marker positions obtained by manual measurement. The new method was also compared with a conventional algorithm, which we had found to be best in a previous comparative study. To evaluate the new method against manual measurements, the dispersion of automatic and manual duration markers were analyzed in a set of 19 repeatedly recorded MUAPs. The differences between the new algorithm’s marker positions and the gold standard of duration marker positions were smaller than those observed with the conventional method. The dispersion of the new algorithm’s marker positions was slightly less than that of the manual one. Our new method for automatic measurement of MUAP duration is more accurate than other available algorithms and more consistent than manual measurements.en
dc.description.sponsorshipThis work was funded by the Instituto de Salud Carlos III (Project PIO21510) and by the Ministerio de Ciencia y Tecnología (Project BFM 2001-1667-03-01).en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherLippincott, Williams & Wilkinsen
dc.relation.ispartofJournal of Clinical Neurophysiology, 24 (1):59-69, February 2007en
dc.rights© 2006 by the American Clinical Neurophysiology Societyen
dc.subjectMotor unit action potentialen
dc.subjectDurationen
dc.subjectQuantitative electromyographyen
dc.subjectWavelet transformen
dc.titleMotor unit action potential duration, II: a new automatic measurement method based on the wavelet transformen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística e Investigación Operativaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Sailaeu
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika eta Ikerketa Operatiboa Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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