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

Residual and bidirectional LSTM for epileptic seizure detection

ICLR 2023 paper - ManyDG - Dataset processing and mode codes

Code for BHI 2023 Paper on EEG Seizure Detection

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.

EEG Epileptic Seizure Detection project that focuses on the detection of epileptic seizures in EEG recordings using machine learning models applied across multiple data domains: temporal, frequency, and time-frequency. It provides tools for data preprocessing, model training, evaluation, and an interactive graphical interface to explore and analyze

Offline semi-automated seizure detection using deep learning

Automated seizure detection coupled with manual validation

The topic is "Electroencephalography based epileptic seizure detection". Based on the repo: https://github.com/unapale/SeizureBenchmarking_Example

Neureka 2020 competition for seizure detection - 4th Place Overall!