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

Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients

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

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).

The aim of this repo is to contribute to the diagnosis of epilepsy by taking advantage of the engineering. So, for diagnosing of epileptic seizures from EEG signals are transformed discrete wavelet and auto regressive models. After these transformations, extract data is applied input for Back-propagation, k-Nearest Neighbor (k-NN), Support Vecto…

Implementation of the aura workflow in the Eclipse AICE working group.

supervised machine learning techniques to predict seizures.

MINERÍA DE DATOS APLICADA A LA DETECCIÓN DE CRISIS EPILÉPTICAS - GII18.13

This repository includes pretty much every file I created, worked on, published during my internship (ASSIP) in summer 2020

Heart Rate / Epilepsy Alarm

Use deep learning to detect epileptic seizures and apply them.

Open Source Projects to adjust screen & reduce flash the for epileptic users |

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

A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network

Classifying epileptic and non-epileptic EEG signals using LSTM networks for improved seizure detection.

Repository for the EpiScope Project

A cellular automata made sweet sweet love to something a little like a qubit, but not really. Epilepsy Warning! May cause seizures!

A BangleJS watch app that acts as a Bluetooth data source for OpenSeizureDetector