Feature-based detection of epileptic seizures using ECoG recordings and a PAM model

Author

Hughes, Elizabeth S. ; Gaillard, William D. ; Jacyna, Garry M. ; Schiff, Steven J.

Author_Institution

Mitre Corp., McLean, VA, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

933

Abstract

This paper develops a detection scheme for identifying seizure onset using single channel electrocorticograms recorded from intractable epilepsy patients. A statistic which measures changes in the peaks of the autocovariance function of a signal is developed based upon a pulse amplitude modulation model. This method is useful both for detecting seizure onset and for localizing the seizure focus within the cortical tissue by comparing data collected from multiple electrodes

Keywords

brain models; electroencephalography; feature extraction; medical signal processing; pulse amplitude modulation; signal detection; ECoG recordings; PAM model; electrodiagnostics; epileptic seizures; feature-based detection; intractable epilepsy patients; multiple electrodes; seizure focus localization; seizure onset; signal autocovariance function peaks; single channel electrocorticograms; Amplitude modulation; Background noise; Computer vision; Electrodes; Epilepsy; Neurons; Pulse measurements; Pulse modulation; Signal processing; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579355

Filename

579355