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A new multi criteria classification approach in a multi agent system applied to SEEG analysis.

Abstract : This work is focused on the study of the organization of the SEEG signals during epileptic seizures with multi-agent system approach. This approach is based on cooperative mechanisms of auto-organization at the micro level and of emergence of a global function at the macro level. In order to evaluate this approach we propose a distributed collaborative approach for the classification of the interesting signals. This new multi-criteria classification method is able to provide a relevant brain area structures organisation and to bring out epileptogenic networks elements. The method is compared to another classification approach a fuzzy classification and gives better results when applied to SEEG signals.
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https://www.hal.inserm.fr/inserm-00188786
Contributor : Lotfi Senhadji <>
Submitted on : Tuesday, November 20, 2007 - 9:12:01 AM
Last modification on : Wednesday, May 16, 2018 - 11:23:08 AM
Long-term archiving on: : Monday, April 12, 2010 - 2:40:08 AM

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Abel Kinie, Mamadou Lamine Ndiaye, Jean-Jacques Montois, Yann Jacquelet. A new multi criteria classification approach in a multi agent system applied to SEEG analysis.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2007, 1, pp.2019-2022. ⟨10.1109/IEMBS.2007.4352715⟩. ⟨inserm-00188786⟩

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