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Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study
Conference ObjectAbstract: Biometric identification or authentication is a pattern recognition process, which is carried out acPalabras claves:Automatic segmentation, biometric, Electrocardiographic signal, Heart murmur, pattern recognitionAutores:A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Paul D. Rosero-MontalvoFuentes:scopusElectroencephalographic signals and emotional states for tactile pleasantness classification
Conference ObjectAbstract: Haptic textures are alterations of any surface that are perceived and identified using the sense ofPalabras claves:Electroencephalographic signal, Sensorial stimulus, Signal processing, Tactile pleasantnessAutores:A. E. Castro-Ospina, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Durango J., Londoño-Delgado E., Miguel A. Becerra, Pelaez-Becerra S.M.Fuentes:scopusStochastic-and neuro-fuzzy-analysis-based characterization and classification of 4-channel phonocardiograms for cardiac murmur detection
ArticleAbstract: Cardiac murmurs (CMs) are the most common heart’s diseases that are typically diagnosed from phonocaPalabras claves:ANFIS, Cardiac murmur, empirical mode decomposition, Hidden markov models, PhonocardiogramAutores:Ana C. Umaquinga-Criollo, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Miguel A. BecerraFuentes:googlescopus