Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy

Authors:
Mamadou Ndiaye;Abel Kinie;Jean-Jacques Montois
Affiliations:
Laboratoire Traitement du Signal et de l'Image, INSERM U642 antenne de Saint-Malo, IUT de Saint Malo, Rue Croix Désilles BP 195, 35409 Saint Malo, France;Laboratoire Traitement du Signal et de l'Image, INSERM U642 antenne de Saint-Malo, IUT de Saint Malo, Rue Croix Désilles BP 195, 35409 Saint Malo, France;Laboratoire Traitement du Signal et de l'Image, INSERM U642 antenne de Saint-Malo, IUT de Saint Malo, Rue Croix Désilles BP 195, 35409 Saint Malo, France
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

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Abstract

The paper presents a distributed approach for the interpretation of epileptic signals based on a dynamical vectorial analysis method. The approach associates signal processing methods into a situated, reactive, cooperative and decentralized implementation. The objective is to identify and locate the various interictal and ictal epileptiform events (pathological and/or normal) contained in intracerebral EEG signals (one hundred recording channels in general) recorded in patients suffering from partial temporal lobe epilepsy. This approach associates some signal processing methods (spectral analysis, causality measurements, detection, classification) in a multi-agent system.