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Epileptic Seizure Prediction and Onset Zone Localization Using Intracranial and Scalp Electroencephalographic and Magnetoencephalographic Signals



Marateb HR1, 2 ; Migliorelli C2, 3 ; Bachiller A2 ; Azimi T1 ; Nezhad FZ1 ; Mansourian M2, 4 ; Alonso JF5 ; Aparicio J5, 6 ; San Antonioarce MV2, 3 ; Romero S1 ; Mananas MA2, 3
Authors
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Authors Affiliations
  1. 1. Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Isfahan, Iran
  2. 2. Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain
  3. 3. Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Spain
  4. 4. Epidemiology and Biostatistics Department, Health School, Isfahan University of Medical Sciences, Isfahan, Iran
  5. 5. Epilepsy Unit, Department of Neuropediatrics, Hospital Sant Joan de Deu, Barcelona, Catalunya, Spain
  6. 6. Department of Neuropediatrics, University of Freiburg Hospital, Freiburg, Baden-Wurttemberg, Germany

Source: Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1 Published:2020

Abstract

Epilepsy, a significant cause of disability and mortality and one of the most common neurological disorders, is associated with seemingly random incidences of recurrent seizures. It affects one percent of the world’s population and individuals of all ages and has a worldwide distribution. About two-thirds of such patients could benefit from antiepileptic drugs. Resective surgery is a possible treatment for the other group (i.e. refractory epilepsy). In focal epilepsy, where a limited area in the brain is involved in abnormal neural activity, the identification of the epileptogenic zone (i.e. the seizure onset zone) is critical. In addition, preventing seizures using medication is facilitated by the prediction of epileptic seizures. In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods and the challenges of the state-of-the-art are discussed. © IOP Publishing Ltd 2020.
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