Automation of Epileptic Seizure Detection Tec...

Automation of Epileptic Seizure Detection Techniques Analysis and Review

Author Name : Ms. Nidhi, Ms. Vidhi Sinha, Ms. Sanjana V, Ms. Simran, Smt. Jayashree

DOI: https://doi.org/10.56025/IJARESM.2023.11123196

ABSTRACT

In this study, a comprehensive overview of works focused on automated epileptic seizure detection using Deep Learning techniques and neuroimaging modalities is presented. We outline the most promising Deep Learning models that have been suggested and potential future research on automated epileptic seizure detection. To assist neurologists, numerous automated epileptic seizure detection methods have been created. The implementation of an effective adaptive rate solution for the epileptic seizure detection is the main topic of this paper. By providing a thorough systematic evaluation of the most recent advancements in EEG-based ML/DL technologies for epileptic seizure identification, this paper aims to close this research gap. Researchers can use the study's findings to select the most effective ML/DL models and feature extraction techniques to enhance the effectiveness of EEG-based epileptic seizure detection.

Keywords: Artificial neural network (ANN), Deep Learning (DL), Electroencephalogram (EEG), Epileptic Seizure