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...

Full description

Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 50; no. 4; pp. 359 - 373
Main Authors:	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
Format:	research Journal Article
Published:	Springer Nature Apr2012
Online Access:	View this record in EBSCOhost