Petri nets in mutual interactions on Epilepsy.

摘要

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 experiment this technical contribution in information extraction, representation and interpretation as well as the implemented control strategies in the various processes. Our approach deal with the information recorded during the intracerebral exploration and it exploits a dynamical selection of the interest's information to optimize processes 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. Modelling by Petri's Network associated with Multi agents systems give rise to more information about the identification of brain areas involved in epileptic activity