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Foundations of Artificial Learning for Epilepsology:: Support Vector Machines and EEG Signal Analysis - Couverture souple

FETHELLAH, Nour El Houda

 
9786209961625: Foundations of Artificial Learning for Epilepsology:: Support Vector Machines and EEG Signal Analysis
Couverture souple
ISBN 10 : 6209961622 ISBN 13 : 9786209961625
Editeur : Our Knowledge Publishing, 2026

Synopsis

Epilepsy, a major neurological disorder, sees 30% of patients resistant to medication, requiring surgery whose success depends on precise localization of the epileptogenic zone by EEG. However, this signal is affected by artifacts, and its modeling remains complex. This work lays the foundations for the use of artificial intelligence, in particular Support Vector Machines (SVM), for seizure detection. Structured in three chapters, it presents artificial learning, SVMs (robust, interpretable, efficient) and the specificities of the epileptic EEG signal. SVMs are preferred to deep learning methods for their transparency.This work aims to establish the conceptual and methodological foundations needed to study epileptic seizures using artificial intelligence, with a particular focus on Support Vector Machines (SVMs).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Our Knowledge Publishing
Date d'édition
2026
Langue
anglais
ISBN 10 
6209961622
ISBN 13 
9786209961625
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
non disponible