EEG Signal Analysis for Epileptic Seizure Detection: Algorithms, Challenges, and Opportunities
DOI:
https://doi.org/10.32792/jeps.v15i1.586Abstract
Epilepsy is classified as a chronic, non-communicable disease, but at the same time, it is a serious disease that can lead to death if the necessary measures are not taken on time. Many studies have been presented on how to benefit from machine learning techniques in diagnosing or predicting the disease. However, more studies still need to develop methods and algorithms for better performance and guaranteed results. This article highlights the latest techniques and algorithms that have been used from 2019 - 2024 and which have been published in peer-reviewed scientific journals. This review of the modern literature aims to identify the latest developments in this field and also to provide work that helps researchers and specialists interested in this disease. Also, in this study, the scope, limitations and recommendations of previous studies have been discussed.
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