Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques

Article

Abstract: Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major conce

Palabras claves:

Clustering, Feature Extraction, feature selection, Q-α, Relevance analysis, Signal entropy, Sleep stages

Autores:

Cirugeda-Roldán E., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Osorio-Forero A., Rodríguez-Sotelo J.L.

Fuentes:

scopus