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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 :ref:`MUSIC Dataset <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 :ref:`Running demo analysis <running-demo-analysis>` example.

.. toctree::
   :maxdepth: 1
   :caption: Contents:

   overview
   datasets
   examples
   variables
   maintenance
   API Documentation <api/modules>