epileptic-seizures

[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

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…

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

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

Heart Rate / Epilepsy Alarm

Repository for the EpiScope Project

An enterprise-grade, real-time neurological telemetry dashboard designed for Intensive Care Units (ICU). This system integrates advanced Machine Learning (XGBoost) for continuous EEG signal processing with a high-performance backend (FastAPI) and a clinical-standard frontend (Streamlit).

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

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

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

Use deep learning to detect epileptic seizures and apply them.

Gerster et al. 2020. “FitzHugh–Nagumo Oscillators on Complex Networks Mimic Epileptic-Seizure-Related Synchronization Phenomena.” Chaos 30 (12): 123130.

Open Seizure Detector - A seizure detector data source based on watch Garmin Instinct 2

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

Lime Tracker empowers people with epilepsy for better understanding of sickness development.

A deep learning framework for epileptic seizure detection using Wavelet Scalograms, Multi-Scale CNN, Channel Attention, and BiLSTM.

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