EEG-Based Epilepsy Detection Using Deep Learning: A Scoping Review
Abstract
This project aims to conduct a scoping review of convolutional neural network models used for automated epilepsy detection from raw EEG data using benchmark datasets such as CHB-MIT, Bonn dataset, TUH.
Fields of Study & Subjects
EEG and Brain-Computer Interfaces
ECG Monitoring and Analysis
Emotion and Mood Recognition
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint