Longitudinal ECG Analysis

A package to investigate the associations between ECG features and health outcomes.

Features

  • Derives features from ECG signals

  • Performs statistical analysis of associations between ECG features and health outcomes

  • Compatible with two publicly available datasets

Installation

pip install git+https://github.com/Nokia-Bell-Labs/longitudinal-ECG-analysis

Quick Example

  • Download the MUSIC Dataset:

    • To run the demo analysis, download the files in the root folder (such as subject-info.csv), and download Holter_ECG files for the first 25 subjects.

    • Store these in a folder, and note down the path of this folder, which will be used as the <raw_data_folder>.

  • Create a folder in which to store the results, and note down the path of this folder, which will be used as the <processing_folder>.

  • Clone the repository:

git clone https://github.com/Nokia-Bell-Labs/longitudinal-ECG-analysis.git

  • Install the required packages, preferably in a virtual environment, using:

cd longitudinal-ECG-analysis
pip install -r requirements.txt

  • Run the demo analysis using:

cd longitudinal_ecg_analysis/src
python -m longitudinal_ecg_analysis.run_demo <raw_data_folder> <processing_folder> music

Further details of this example are provided in the Running demo analysis example.

Contents: