New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.

This paper describes a new method to identify seizures in electroencephalogram (EEG) signals using feature extraction in time-frequency distributions (TFDs). Particularly, the method extracts features from the Smoothed Pseudo Wigner-Ville distribution using tracks estimated from the McAulay-Quatieri...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 48; no. 4; pp. 321 - 331
Main Authors:	Guerrero-Mosquera C, Malanda Trigueros A, Iriarte Franco J, Navia-Vázquez A, Guerrero-Mosquera, Carlos, Trigueros, Armando Malanda, Franco, Jorge Iriarte, Navia-Vázquez, Angel
Format:	research Journal Article
Published:	Springer Nature Apr2010
Online Access:	View this record in EBSCOhost