Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.

This study aims to develop an automatic detector of the A phases of the cyclic alternating pattern, periodic activity that generally occurs during non-REM (NREM) sleep. Eight polysomnographic recordings from healthy subjects were examined. From EEG recordings, five band descriptors, an activity desc...

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Publicado en:	Medical & Biological Engineering & Computing Vol. 50; no. 4; pp. 359 - 373
Autores principales:	Mariani S, Manfredini E, Rosso V, Grassi A, Mendez MO, Alba A, Matteucci M, Parrino L, Terzano MG, Cerutti S, Bianchi AM, Mariani, Sara, Manfredini, Elena, Rosso, Valentina, Grassi, Andrea, Mendez, Martin O, Alba, Alfonso, Matteucci, Matteo, Parrino, Liborio, Terzano, Mario G
Formato:	research Journal Article
Publicado:	Springer Nature Apr2012
Acceso en línea:	Ver este registro en EBSCOhost