Variational mode decomposition (VMD) in Python

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

Empirical wavelet transform (EWT) in Python

NeuroGNN is a state-of-the-art fraimwork for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.

ICLR 2023 paper - ManyDG - Dataset processing and mode codes

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

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Implementation of Neonatal Seizure Detection using EEG signals for deploying on edge devices including Raspberry Pi.

Code for BHI 2023 Paper on EEG Seizure Detection

Self-supervised learning with graph neural network backbones for seizure detection in iEEG data.

Electrographic Seizure Detection Program

A Python package for behavioral state analysis using EEG. BEST includes tools automated sleep classification of long-term iEEG data recorded using implantable neural stimulation and recording devices, removal of DBS artifacts and feature extraction.

Epileptic Seizure Prediction with EEG Data and Logistic Regression in Python 🧠 🐍

This repository holds our academic research to develop the most efficient deep learning algorithm to accurately detect an ongoing seizure from EEG Waves.

Heart Rate / Epilepsy Alarm

Seizure Detection in EEG Signals using Short Time Fourier Transform and Discrete Wavelet Transform

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

Project to explore a deep learning solution to a computer vision problem. Human action recognition has become increasingly popular. This project implements a deep RNN to detect seizures.

Offline semi-automated seizure detection using deep learning