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Computing in Cardiology(2)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10(1)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(1)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(1)
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Medicina y salud(3)
Farmacología y terapéutica(1)
Fisiología y materias afines(1)
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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:scopusAdaptive neuro-fuzzy inference system for acoustic analysis of 4-channel phonocardiograms using empirical mode decomposition
Conference ObjectAbstract: The heart's mechanical activity can be appraised by auscultation recordings, taken from the 4-StandaPalabras claves:Autores:Delgadotrejos E., Miguel A. Becerra, Orrego D.A.Fuentes:scopusExploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems
Conference ObjectAbstract: The process of distinguishing among human beings through the inspection of acquired data from physicPalabras claves:Biometric identification, Cardiac murmur, Electrocardiographic signal, Signal processingAutores:Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Serna-Guarin L., Xiomara P. Blanco-ValenciaFuentes:scopusHeart murmur detection using ensemble empirical mode decomposition and derivations of the mel-frequency cepstral coefficients on 4-area phonocardiographic signals
Conference ObjectAbstract: This paper presents an automatic detection system for the classification of phonocardiographic (PCG)Palabras claves:Autores:Delgadotrejos E., Jimenez J., Miguel A. BecerraFuentes:scopusWeighted-PCA for unsupervised classification of cardiac arrhythmias
Conference ObjectAbstract: A method that improves the feature selection stage for non-supervised analysis of Holter ECG signalsPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusStochastic analysis and classification of 4-area cardiac auscultation signals using Empirical Mode Decomposition and acoustic features
Conference ObjectAbstract: As cardiac murmurs do not generally appear in every area of auscultation, this paper presents an effPalabras claves:Autores:Delgadotrejos E., Mejia C., Miguel A. Becerra, Orrego D.A.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