https://github.com/physiopy/prep4phys

A toolbox for physiological peak detection analyses. Formerly peakdet.
https://github.com/physiopy/prep4phys

closember hacktoberfest peak-detection physiological-data physiological-signals physiology

Last synced: 10 days ago
JSON representation

A toolbox for physiological peak detection analyses. Formerly peakdet.

• Host: GitHub
• URL: https://github.com/physiopy/prep4phys
• Owner: physiopy
• License: apache-2.0
• Created: 2024-07-25T16:25:22.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-07-11T00:11:40.000Z (7 months ago)
• Last Synced: 2025-07-11T05:53:31.399Z (7 months ago)
• Topics: closember, hacktoberfest, peak-detection, physiological-data, physiological-signals, physiology
• Language: Python
• Homepage:
• Size: 3.06 MB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

          



peakdet: A toolbox for physiological peak detection analyses

============================================================

[![Apache 2.0](https://img.shields.io/badge/license-Apache%202-blue.svg)](http://www.apache.org/licenses/LICENSE-2.0)

[![Join the chat at Gitter: https://gitter.im/physiopy](https://badges.gitter.im/physiopy/phys2bids.svg)](https://gitter.im/physiopy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=body_badge)

[![codecov](https://codecov.io/gh/rmarkello/peakdet/branch/master/graph/badge.svg)](https://codecov.io/gh/rmarkello/peakdet)

[![TravisCI](https://travis-ci.org/rmarkello/peakdet.svg?branch=master)](https://travis-ci.org/rmarkello/peakdet)

[![See the documentation at: http://peakdet.readthedocs.io](https://readthedocs.org/projects/peakdet/badge/?version=latest)](http://peakdet.readthedocs.io/en/latest)

[![All Contributors](https://img.shields.io/badge/all_contributors-9-orange.svg?style=flat)](#contributors)

This package is designed for use in the reproducible processing and analysis of

physiological data, like those collected from respiratory belts, pulse

photoplethysmography, or electrocardiogram (ECG/EKG) monitors.

## Overview

Physiological data are messy and prone to artifact (e.g., movement in

respiration and pulse, ectopic beats in ECG). Despite leaps and bounds in

recent algorithms for processing these data there still exists a need for

manual inspection to ensure such artifacts have been appropriately removed.

Because of this manual intervention step, understanding exactly what happened

to go from "raw" data to "analysis-ready" data can often be difficult or

impossible.

This toolbox, ``peakdet``, aims to provide a set of tools that will work with a

variety of input data to reproducibly generate manually-corrected, analysis-

ready physiological data. If you'd like more information about the package,

including how to install it and some example instructions on its use, check out

our `documentation `_!

## License Information

This codebase is licensed under the Apache License, Version 2.0. The full

license can be found in the `LICENSE `_ file in the ``peakdet`` distribution. You may also

obtain a copy of the license at: http://www.apache.org/licenses/LICENSE-2.0.

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

  

    

      
Elizabeth DuPre
💻 🚇

      
Ross Markello
🐛 💻 📖 🤔 🚇 🚧 📆 👀 ⚠️ ✅

      
Stefano Moia
👀 💻 🚇 📆

      
Taylor Salo
🚇

    

    

      
Mi-Xue Tan
💻 📓 🔌

      
Eneko Uruñuela
🚇

      
xl624
💻

      
Rachael Stickland
🚇 📖

    

    

      
Marie-Eve Picard
👀

    

  

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!