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2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10(1)
Communications in Computer and Information Science(1)
Computer Methods and Programs in Biomedicine(1)
Computers in Cardiology(1)
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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: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:scopusTwo novel clustering performance measures based on coherence and relative assignments of clusters
Conference ObjectAbstract: This work proposes two novel alternatives for dealing with the highly important issue of the clusterPalabras claves:Cluster coherence, Clustering, Graph-partitioning, probabilities, Relative frequenciesAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusUnsupervised feature relevance analysis applied to improve ECG heartbeat clustering
ArticleAbstract: The computer-assisted analysis of biomedical records has become an essential tool in clinical settinPalabras claves:Electrocardiogram analysis, feature selection, Heartbeat classification, Q-α algorithm, Relevance analysisAutores: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: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