Giter VIP home page Giter VIP logo

openseizuredetector / openseizuredatabase Goto Github PK

View Code? Open in Web Editor NEW
4.0 2.0 3.0 59.73 MB

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).

Home Page: https://openseizuredetector.org.uk

License: Other

Python 29.43% Jupyter Notebook 70.56% Shell 0.01%
epilepsy epilepsy-monitoring epileptic-seizure-detection epileptic-seizures machine-learning

openseizuredatabase's Introduction

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).

The repository contains a number of python tools that form a toolkit to assist users of the database in working with the JSON files containing the seizure data. The database data itself is stored separately, with access granted on request as described below.

Licence

The python tools are licenced under the GNU General Public Licence, V3.

The OpenSeizureDatabase data is licenced under a variation of the Creative Commons Share Alike licence, with an additional licence condition to publish a description of the system developed and results obtained using the data for the benefit of users of the OpenSeizureDetector project - see the LICENCE description for more details.

Data Users

The following people have access to the anonymised OpenSeizureDatabase data.

Name Contact Research Area Web Site
Graham Jones [email protected] Development of Improved SeizureDetection Algorithms for OpenSeizureDetector OpenSeizureDetector
Jamie Pordoy [email protected] PhD Research into Seizure Detection IntSaV Group
Benjamin Mickler Research into seizure detection
Anthony Cuturrufo, UCLA Machine Learning Seizure Detection
Bram Regtien @aroonPro OSD Development
Jongchan Lee, Mokwon University @paorisun Student Project: Multi-Function smartwatch development
Junrun Chen, Hangzhou Dianzi University @ErHai1 classification of epilepsy seizure types and the detection of epilepsy classifications

Researchers who would like access to the data should email [email protected] explaining what they intend to use the data for, and confirming that they will comply with the requirements of the LICENCE for the data. They will then be given access to a repository containing the JSON files that make up the Open Seizure Database.

Installation Instructions

  • Create a folder in your home directory called "osd" and change directory into it.
  • Clone this repository (git clone https://github.com/OpenSeizureDetector/OpenSeizureDatabase.git)
  • change directory to ~/osd/OpenSeizureDatabase
  • create a python virtual environment with python -m venv ~/pyEnvs/osdb
  • activate the virtual environment with source ~/pyEnvs/osdb/bin/activate [note, I create an alias in ~/.bashrc with alias osdb='source /home/graham/pyEnvs/osdb/bin/activate' - then i just type 'osdb' to activate the environment].
  • execute pip install -r requirements.txt (note the tensorflow requirement is not essential so can be removed if you do not intend to use tensorflow to train neural networks).
  • Create a folder in your home directory called "osd/osdb"
  • Copy the OSDB JSON text files into ~/osd/osdb

Test Installation

  • Go to ~osd/OpenSeizureDatabase/user_tools/dataSummariser
  • rename osdbCfg.json.template to osdbCfg.json and adapt it to suit your configuration (folder for example)
  • execute python ./summariseData.py --index. This should produce a file output/index.html which lists all the data in the database. Note that there will be missing image files because these are only generated when a full summary is created.
  • execute python ./summariseData.py --event=5483. This should produce a folder, output/Event_5483_summary which contains an html file (index.html) and associated images to display a summary of the event, similar to the example output in the documentation folder.

Documentation

For details of the data structure and the software included in this repository, please refer to the Documentation. The documentation folder also contains an Example set of data for a seizure for reference.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.