Skip to content

Latest commit

 

History

23 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

arrhythmia_ecg_detection

Classifying Arrythmia from 12 Lead ECG recordings

Downloading Data

Our Dataset is Arrythmi in Children and Adults from PhysioNet. To download the dataset use the command

wget -r -N -c -np https://physionet.org/files/leipzig-heart-center-ecg/1.0.0/

this will save the dataset to the physionet.org directory in your current directory

Setting up Project

Create a virtual environment in python using the tool of your choice. For example:

python -m venv venv
source venv/bin/activate # Will need to change if on windows!

Then install all dependencies listed in the requirements file.

pip install -r requirements.txt

Place dataset files:

The necessary files to work with the dataset can be found here.

  • To regenerate them run
scripts/combine_dataset.py
  • Pass the –help flag it will explain the parameters

About

Classifying Arrythmia from 12 Lead ECG recordings

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages