VECTORIAL ANALYSIS OF SEEG SIGNALS BASED ON MADKIT A MULTI-AGENT SYSTEM

摘要

In this paper we associate the Multi-Agent concept to the vectorial analysis of depth SEEG signals recorded on patients suffering from partial temporal lobe and frontal lobe epilepsy. This original association the Multi-Agents System and signals processing's algorithms is built on MadKit (Multi-agent-development Kit) which is a framework of multi-agents written in Java and based on an organizational model. This association will allow a vectorial analysis of the signals recorded on a great number of Stereo-EEG sensors; 128 channels for example. From this vectorial statistical analysis will emerge through relations between brain areas the organization of the seizure propagation for a given epileptic patient