Identification Of Abnormal EEG Using Deep Learning And Neural Networks

Authors: Prof. Debasish Saha Roy, Syed Aman Ahamed, Tamal Putatunda, Tanuja Paul, Tirthak DebNath

Published in: Journal of Computer Science and Engineering in Innovations and Research (ISSN No: 3049-1762 online)

Publication Date: May 15, 2025

📄 Abstract

Epilepsy is a neurological condition resulting in seizures, identifiable through EEG examination. This work introduces software based on deep learning with the application of a CNN-GRU model for real-time classification and seizure detection from a patient's EEG graph. The current system independently observes EEG signals, identifies abnormalities, and notifies caregivers, providing uninterrupted, high-fidelity classification without the need for human intervention.

🔑 Keywords

Abnormal EEG Identification, Alert Generation, EEG Test, CNN (Convolutional Neural Network), Abnormality Detection, Brain State