Explore @OpenSeizureDetector Open Source projects

Open Seizure Detector (@OpenSeizureDetector)

OpenSeizureDetector

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Location 🇬🇧 United Kingdom
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OpenSeizureDetector

Historical Seizure Detector source code - NOT IN USE - SEE OTHER REPOSITORIES. A suite of open source and open hardware projects designed to detect and alert people to someone suffering from an epileptic seizure (fit). This is a work in progress at the moment, and three different technologies are being developed to see which work best: Accelerometers, Audio Detection and Video Detection.

Garmin_SD

Garmin Watch Seizure Detector - A seizure detector data source based on Garmin IQ watches such as Vivoactive HR

Android_Pebble_SD

The main OpenSeizureDetector Android App, that is published on the Android Play Store.

Fitbit_SD

Seizure Detector using a Fitbit Smartwatch (Fitbit Versa or Fitbit Ionic)

Pebble_SD

The OpenSeizureDetector Pebble Watch Seizure Detector (That is packaged with the OpenSeizureDetector Android App)

SMSAnnunciator

Android App to Generate Alarms when an OpenSeizureDetector SMS Alert Is Received

AndroidWear_SD

Proof of Concept Android Wear Watch Seizure Detector

OpenSeizureDatabase

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).

Jupyter Notebook

ESP8266_SD

A version of the OpenSeizureDetector Pebble Watch App that runs on an ESP8266 wifi module.

ANN_SD

An Artificial Neural Network (ANN) based seizure detector

Seizure_Data

A repository of data recorded during real seizures for reference

waspOsSD

Proof of concept waspOS micropython seizure detector app to run on a device such as a PineTime or P8

VideoBehaviourDetector

A video based analyser to determine 'odd' behaviour that may indicate a seizure - Based on an Artificial Neural Network

webApi

A RESTful web API for storing and retrieving seizure detector data for classification and analysis - primarily intended to collect 'normal' and 'seizure' labelled data so we can train machine learning algorithms to tell the difference