seizure

Residual and bidirectional LSTM for epileptic seizure detection

GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)

source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)

This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Detection of Epileptic Seizure Event and Onset Using EEG

Digital Signal Processing for Big EEGs

HFO classification

1st place algorithm from Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge

An agentic workspace for exploring, analyzing, visualizing, and annotating EEG/iEEG signals. Includes a tool-using agent, local Python analysis, multi-scale rendering, and HDF5/EDF support.

Epilepsy Ictal Phase Detection Dataset. A multimodal, non-EEG seizure detection dataset featuring acceleration and heart rate data from the Open Seizure Database (OSDB) and annotated by clinical experts to label the phases of the ictal state

Electrographic Seizure Detection Program

metaanalysis projects

2nd place algorithm for Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge

My research on the diagnosis of epilepsy based on brain signals as a master's thesis. (Deep Learning - ECoG - EEG)

MICCAI 2026 Early Accept: Concept Driven Seizure Detection

3rd place algorithm of the Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge

Epileptic EEG detection using the linear prediction error energy

Heart Rate / Epilepsy Alarm

A Python toolkit for the robust evaluation and analysis of seizure detection models.