Skip to main content

Tools to load and process electrocardiogram data.

Project description

ecghelper

A utility package for working with electrocardiograms, particularly 12-lead electrocardiograms.

Quickstart

pip install ecghelper

Development

Assuming conda or mamba are available in the shell, you can create a virtual environment for package development as follows.

conda create -y -n ecghelper "python>=3.9"
conda activate ecghelper
pip install ecghelper[dev]

If you are using zsh, you will need to escape the square brackets, i.e.:

pip install ecghelper\[dev\]

Converting functions

Debug - directly call the entry point.

python -m pdb src/ecghelper/__main__.py convert -i 82000.xml -f xml -o 82000_wfdb -t wfdb

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ecghelper-0.6.4.tar.gz (42.3 MB view hashes)

Uploaded Source

Built Distribution

ecghelper-0.6.4-py3-none-any.whl (10.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page