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Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques

Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages. There is a scientific agreement on the characteristics of the five stages of human sleep, based on EEG analysis. Nev...

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Principais autores: Jose Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, David Cuesta-Frau, Eva Cirugeda-Roldán, Diego Peluffo
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2014-12-01
Serier:Entropy
Fag:
sleep stages
feature extraction
signal entropy
feature selection
relevance analysis
Q-α clustering
Online adgang:http://www.mdpi.com/1099-4300/16/12/6573
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