Universität Bielefeld Electronic Collections animiertes Foto Universität Bielefeld

Zugang zum Dokument



Sleep Spindle Detection by Using Merge Neural Gas

Estévez, Pablo A. ; Zilleruelo-Ramos, Ricardo ; Hernández, Rodrigo ; Causa, Leonardo ; Held, Claudio M.




Abstract:
In this paper the Merge Neural Gas (MNG) model is applied to detect sleep spindles in EEG. Features are extracted from windows of the EEG by using short time Fourier transform. The total power spectrum is computed in six frequency bands and used as input to the MNG network. The results show that MNG outperforms simple neural gas in correctly detecting sleep spindles. In addition the temporal quantization results as well as sleep trajectories are visualized on two-dimensional maps by using the OVING projection method.


Schlagwörter: self-organizing maps, neural gas, sleep spindles, EEG
Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Estévez, Pablo A. ; Zilleruelo-Ramos, Ricardo ; Hernández, Rodrigo ; Causa, Leonardo ; Held, Claudio M.  (2007)  Sleep Spindle Detection by Using Merge Neural Gas.


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/148



 Fragen und Anregungen an: publikationsdienste.ub@uni-bielefeld.de
 Letzte Änderung: 15.2.2011
 Impressum
OPUS-Logo     OAI-zertifiziert      Universitätsbibliothek Bielefeld
OAI-Logo