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dc.date.accessioned 2022-07-05T15:22:50Z
dc.date.available 2022-07-05T15:22:50Z
dc.date.issued 2001
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/138912
dc.description.abstract Muscle fibre conduction velocity is an important measurement in electrophysiology, both in the research laboratory and in clinical practice. It is usually measured by placing electrodes spaced at known distances and estimating the transit time of the action potential. The problem, common to all methods, is the estimation of this time delay. Several measurement procedures, in the time and frequency domains, have been proposed. Time-domain strategies usually require two acquisition channels, whereas some frequency-domain methods can be implemented using a single one. The method described operates in the time domain, making use of the autocorrelation function of the difference signal obtained from two needle electrodes and only one acquisition channel. Experimental results were obtained from the electromyogram of two biceps muscles (two adult male subjects, nine records each) under voluntary contraction, yielding an average of 3.58 m s−1 (SD=0.04 m s−1) and 3.37 m s−1 (SD=0.03 m s−1), respectively. Several tests showed that the proposed method works properly with electromyogram records as short as 0.3 s. en
dc.format.extent 590-593 es
dc.language en es
dc.subject correlation function es
dc.subject Muscle conduction velocity es
dc.subject Needle electromyography es
dc.title Propagation velocity measurement en
dc.type Articulo es
sedici.identifier.other doi:10.1007/bf02345151 es
sedici.identifier.other pmid:11712657 es
sedici.identifier.issn 0140-0118 es
sedici.identifier.issn 1741-0444 es
sedici.title.subtitle Autocorrelation technique applied to the electromyogram en
sedici.creator.person Spinelli, Enrique Mario es
sedici.creator.person Felice, Carmelo José es
sedici.creator.person Mayosky, Miguel Angel es
sedici.creator.person Politti, J. C. es
sedici.creator.person Valentinuzzi, Max E. es
sedici.subject.materias Electrotecnia es
sedici.subject.materias Biología es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Medical & biological engineering & computing es
sedici.relation.journalVolumeAndIssue vol. 39, no. 5 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)