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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)
2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings(1)
Computers in Cardiology(1)
Entropy(1)
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Medicina y salud(5)
Métodos informáticos especiales(2)
Farmacología y terapéutica(1)
Química y ciencias afines(1)
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Aprendizaje automático(6)
Ciencias de la computación(5)
Enfermedad cardiovascular(3)
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scopus(8)
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques
ArticleAbstract: Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concePalabras claves:Clustering, Feature Extraction, feature selection, Q-α, Relevance analysis, Signal entropy, Sleep stagesAutores:Cirugeda-Roldán E., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Osorio-Forero A., Rodríguez-Sotelo J.L.Fuentes:scopusGeneralized Bonhoeffer-van der Pol oscillator for modelling cardiac pulse: Preliminary results
Conference ObjectAbstract: This work presents an approach for modelling cardiac pulse from electrocardiographic signals (ECG).Palabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Olivard-Tost G., Ospina-Aguirre C., Rodríguez-Sotelo J.L.Fuentes:scopusEffectiveness of morphological and spectral heartbeat characterization on arrhythmia clustering for Holter recordings
Conference ObjectAbstract: Heartbeat characterization is an important issue in cardiac assistance diagnosis systems. In particuPalabras claves:clustering methods, Feature Extraction, Signal analysisAutores:Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusNonparametric density-based clustering for cardiac arrhythmia analysis
Conference ObjectAbstract: In this work, a nonsupervised algorithm for feature selection and a non-parametric density-based cluPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusUnsupervised feature selection in cardiac arrhythmias analysis
Conference ObjectAbstract: The problem of detecting clinical events related to cardiac arrhythmias in long term electrocardiogrPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusSegment clustering for Holter recordings analysis
Conference ObjectAbstract: In this work, an efficient non-supervised algorithm for clustering of ECG signals is presented. ThePalabras claves:Autores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, López-Londoño D., Rodríguez-Sotelo J.L.Fuentes: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:scopusSleep stages clustering using time and spectral features of EEG signals an unsupervised approach
Conference ObjectAbstract: Sleep stage classification is a highly addressed issue in polysomnography; It is considered a tediouPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Jorge Serrano, Osorio-Forero A., Restrepo-De-Mejía F., Rodríguez-Sotelo J.L.Fuentes:scopus