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.
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Ndiaye, M., Kinie, A., Montois, JJ. (2007). Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_5
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DOI: https://doi.org/10.1007/978-3-540-73599-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73598-4
Online ISBN: 978-3-540-73599-1
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