Electroencephalogram Signal Analysis: Epileptic Cerebral Activity Localization and Implementation
This book will assist medical diagnosis and aid clinical decision-making. It shows that neuronal networks, machine learning, and VAR models proved useful for EEG signal analysis, and details EEG signal processing methods. The book also highlights how to use learning machine for epileptic cerebral activity localisation, and details a parallel implementation for EEG artefact rejection.
Salah Hamdi received his MSc in Computer Sciences and his PhD in Computer Systems Engineering from the University of Sfax, Tunisia, in 2008 and 2016, respectively. He is currently an Assistant Professor at the Higher Institute of Finance and Taxation of Sousse of the University of Sousse, Tunisia, and Senior Researcher at the Laboratory of Technology and Imaging at the Faculty of Medicine of the University of Monastir, Tunisia. His current research interests focus on computer science, artificial intelligence, and biomedical signal analysis.
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Mohamed Hedi Bedoui
Khaled Ben Khalifa
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