Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm.

Journal: Frontiers in medicine
Published Date:

Abstract

INTRODUCTION: Affecting millions of individuals worldwide, epilepsy is a neurological condition marked by repeated convulsions. Monitoring brain activity and identifying seizures depends much on electroencephalography (EEG). An essential step that may help clinicians identify and treat epileptic seizures is the differentiation between epileptic and non-epileptic signals by use of epileptic seizure detection categorization.

Authors

  • Mosleh Hmoud Al-Adhaileh
    Deanship of E-Learning and Distance Education and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia.
  • Sultan Ahmad
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
  • Alhasan A Alharbi
    Department of Computer Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
  • Mohammed Alarfaj
    King Salman Center for Disability Research, Riyadh, Saudi Arabia.
  • Mukta Dhopeshwarkar
    Department of Computer Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
  • Theyazn H H Aldhyani
    Department of Computer Sciences and Information Technology, King Faisal University, Al-Hasa 31982, Saudi Arabia.

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