/seizure_detector_exploration

This repository aims to share informations and works lead by the Aura community on epilepsy seizure detection algorithms

Primary LanguageJupyter Notebook

Introduction

AURA is an open, collaborative, non profit project that aims to develop a connected device detecting early seizure signs in order to alert the patients

The project is developped by an open-science minded community that contributed since 2017.

This project details the exploratory work carried out on epilepsy seizure detection algorithms.

Open datasets

Temple University EEG Seizure corpus

The temple university opened a large and annotated EEG/ECG recordings dataset.

This database includes recordings from:

  • 692 Patients
  • 1074 Hours of recordings
  • more than 3500 seizures

References

Obeid I., Picone J. (2016). The temple university hospital EEG data corpus. Front. Neurosci. 10:196. 10.3389/fnins.2016.00196 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

https://www.isip.piconepress.com/projects/tuh_eeg/

Starting guide

see English starting guide section

see French starting guide section

Data exploration projects

Jedha bootcamp - May / June 2020

Jedha bootcamp - December 2020 - classify signal by noise level

Starting guide

  • Maxence Di Marcantonio
  • Henry Dossot
  • David Mougey