Mostrando 2 resultados de: 2
Filtros aplicados
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: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