International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Epileptic Seizures Detection Using Machine Learning: A Review

Abstract

These episodes may be attributed to abnormal chemical alterations in the brain or anomalies in the cerebral region. These illnesses are classified as chronic and increase the likelihood of death due to their abrupt onset and absence of preceding symptoms. Seizures can be identified by analyzing the brain signals produced by neuronal cells. Traditionally, electroencephalogram (EEG) recordings a multi-channel depiction of brain neuronal activity is used for brain signal monitoring. This paper examines important advancements made in the analysis of EEG waveforms to create predictive algorithms for epilepsy.

Country : Iraq

1 Abdulrahman Talal Ibrahim2 Amera Istiqlal Badran

  1. Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq
  2. Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

IRJIET, Volume 8, Issue 7, July 2024 pp. 167-171

doi.org/10.47001/IRJIET/2024.807018

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