Optimized algorithm for muscular diseases recognition based on temporal parameters analysis and correlation coefficients

dc.contributorCETYS Universidad
dc.creatorMejía González, Efraín Atenógenes
dc.creatorLópez-Leyva, Josué Aarón
dc.creatorEstrada-Lechuga, Jessica
dc.creatorPonce Camacho, Miguel Ángel
dc.date.accessioned2020-09-15T18:48:15Z
dc.date.accessioned2022-10-14T15:41:19Z
dc.date.available2020-09-15T18:48:15Z
dc.date.available2022-10-14T15:41:19Z
dc.date.created2020-09-15T18:48:15Z
dc.date.issued2019
dc.identifier1742-6596
dc.identifierhttps://repositorio.cetys.mx/handle/60000/879
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4255310
dc.description.abstractIn this paper, an optimized algorithm based on temporal parameters analysis and correlation coefficients is presented in order to perform muscular diseases recognition. Statistical information was measured of three classes signals (Healthy, Myopathy and Neuropathy conditions). The temporal parameters that were initially proposed (14) were optimized based on the correlation coefficients. Thus, only 9 parameters were selected for optimized the algorithm, and the time required for training and recognition is ≈ 0.2s and ≈ 4ms, respectively.
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México
dc.subjectMuscular diseases recognition
dc.subjectOptimized algorithm
dc.titleOptimized algorithm for muscular diseases recognition based on temporal parameters analysis and correlation coefficients
dc.typePresentation


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