Fuzzy Algorithm for SEEG Classification
This work is focused on the study of the organization of the SEEG signals during epileptic seizures. We propose a fuzzy algorithm approach for the classification of the interesting signals. This new classification method use a non linear regression coefficient and is able to provide a relevant brain area structures organisation and to bring out epileptogenic networks pertinent elements. The method gives good results when applied to SEEG signals.
KeywordsClassification Method Epileptic Seizure Temporal Lobe Epilepsy Linear Regression Coefficient Cerebral Structure
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