epilepsy

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets

A library to compute ECG signal quality indicators

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

Ability is a browser extension that helps people with varying degrees of ability have more control over their browsing experience.

TCN + Bi-Mamba/FLA + GNN + Dynamic LPE for Clinical EEG Seizure Detection

Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"

This repository contains the toolkit to create and proocess the database of seizure and seizure-like data that has been contributed by OpenSeizureDetector users to contribute to research to improve seizure detection algorithms (Open Seizure Toolkit, OSTK).

Automated Detection of Focal Cortical Dysplasia using Deep Learning

Epileptic Seizure Recognition System, In this project wavelet transform and Hurst exponent are used as an input of SVM, LSTM , Random Forest Models.

Toolbox for automatic detection and localization of epileptic discharges in MEG/EEG

Comparison of joint models for competing risks and longitudinal data

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.

z-brains: open software for brain lesion lateralization and localization

Cortico-cortical Evoked Potentials: workflow for brain connectivity and stimulation studies in SEEG patients.

Matlab and SPM based code to extract features of network dynamics from neurophysiological recordings

The neurodatasets package provides a curated collection of neuroscience and brain-related datasets for data analysis, statistical modeling, and machine learning research. It includes datasets related to biomedical voice recordings, MRI brain imaging, Alzheimer's and Parkinson's disease biomarkers, epilepsy seizures, ADHD symptoms

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