NEUROSKY-EPI
First open single-electrode epilepsy EEG dataset with context-aware AI
NEUROSKY-EPI: Context-Aware Epilepsy Detection
The First Open Single-Electrode Epilepsy EEG Dataset
Accepted at NeurIPS 2025 Workshop on Time Series for Health (TS4H)
Project Overview
NEUROSKY-EPI addresses a critical gap in epilepsy research by providing the first open-source single-electrode EEG dataset specifically designed for epilepsy prognosis, combined with novel context-aware deep learning models.
Key Innovations
🧠 Single-Electrode Design: Making EEG-based epilepsy monitoring more accessible and practical
📊 Open Dataset: First publicly available single-electrode epilepsy EEG dataset
🤖 Context-Aware Modeling: Novel deep learning architecture that considers temporal and situational context
⚡ Real-Time Processing: Optimized for real-time brain-computer interface applications
Technical Contributions
- Dataset Creation: Curated and annotated comprehensive single-electrode EEG data
- Deep Learning Architecture: Context-aware neural networks for epilepsy prediction
- Real-Time System: Designed for practical deployment in clinical and personal settings
- BCI Framework: Brain-computer interface modeling for epilepsy prognosis
Clinical Impact
The single-electrode approach significantly reduces:
- Equipment complexity and cost
- Setup time for patients
- Barriers to continuous monitoring
- Data processing requirements
This makes epilepsy monitoring more accessible, especially in resource-constrained environments.
Research Publication
NeurIPS 2025 TS4H Workshop: “NEUROSKY-EPI: The First Open Single-Electrode Epilepsy EEG Dataset with Context-Aware Modeling” [OpenReview]
Collaboration
Supervisor: Prof. Dr. A.B.M. Alim Al Islam, BUET
Co-authors: Md. Hasnaen Adil, Ayesha Rahman, Ahmmad Nur Swapnil, Maoyejatun Hasana
Future Directions
- Expanding dataset with diverse patient populations
- Developing mobile applications for continuous monitoring
- Integrating with wearable devices
- Clinical trials and validation studies
NEUROSKY-EPI aims to democratize epilepsy monitoring through accessible technology and open science.