- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

Rodríguez-Sotelo, JL.; Osorio-Forero, A.; Jiménez-Rodríguez, A.; Cuesta Frau, D.; Cirugeda Roldán, EM.; Peluffo, D. (2014). Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques. Entropy. 16(12):6573-6589. doi:10.3390/e16126573

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52087

Files in this item

Item Metadata

Title: Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
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 ...[+]
Subjects: Sleep stages , Feature extraction , Signal entropy , Feature selection , Relevance analysis , Q-alpha , Clustering
Copyrigths: Reserva de todos los derechos
Source:
Entropy. (issn: 1099-4300 )
DOI: 10.3390/e16126573
Publisher:
MDPI
Publisher version: http://dx.doi.org/10.3390/e16126573
Thanks:
The authors would like to thank Universidad Autonoma de Manizales for financial support in the present work (Research project 328-038). This work has also been supported by the Spanish Ministry of Science and Innovation, ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record