Authors: Aime Lay-Ekuakille, Giuseppe Vendramin, Amerigo Trotta
Addresses: Dipartimento d'Ingegneria dell'Innovazione, University of Salento, Via Monteroni, 73100 Lecce, Italy. ' Dipartimento d'Ingegneria dell'Innovazione, University of Salento, Via Monteroni, 73100 Lecce, Italy. ' Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Via Orabona 4,70100 Bari, Italy
Abstract: Automatic detection of epileptic seizures, by means of online or offline procedures, is a matter of continuous research that commits many research groups. Electroencephalographic (EEG) detection is affected by interference due to specific electrode interference that can be removed by different techniques, namely, beamforming, proposed in this paper. This technique allows improving epilepsy identification technique without performing a precise selecting of higher-order spectra. This is an expanded version of a paper presented at the 3rd IEEE International Workshop on Medical Measurements and Applications, 9–10 May 2008, Ottawa, ON, Canada.
Keywords: EEG signal processing; beamforming; power spectrum; epilepsy; Frost algorithm; uncertainty; epileptic seizures; seizure detection; electroencephalography; epilepsy identification; EEG measurements.
International Journal of Advanced Media and Communication, 2009 Vol.3 No.1/2, pp.110 - 125
Published online: 27 Jun 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article