Multi-agents System on Epileptic Network

This work is focused on the study and interpretation of epileptic signals, based on the analysis of stereo electroencephalographic (SEEG) signals with signal processing method and multi-agent approach. The objective is to use this technique to improve information extraction, representation and interpretation as well as the implemented control strategies in the different processes. Our approach deals with the information recorded during the intercerebral exploration and it exploits a dynamic selection of the interest’s information to optimize the processing without truncating the information. We associated signal processing algorithms (spectrum analysis, causality measure between signals) approved in the analysis of the epileptic signal in a multi-agent system.