A Python Package for Heart Rate Variability Analysis and Signal Preprocessing

This paper presents 'hrv-analysis', a Python package for Heart Rate Variability (HRV) analysis. 'hrv-analysis' is an open-source package for the Python statistical computing environment, which supports a wide variety of time, frequency and non-linear HRV analysis methods. It also...

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Main Authors: Robin Champseix, Laurent Ribiere, Clément Le Couedic
Format: Article
Language:English
Published: Ubiquity Press 2021-10-01
Series:Journal of Open Research Software
Subjects:
Online Access:https://openresearchsoftware.metajnl.com/articles/305
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author Robin Champseix
Laurent Ribiere
Clément Le Couedic
author_facet Robin Champseix
Laurent Ribiere
Clément Le Couedic
author_sort Robin Champseix
collection DOAJ
description This paper presents 'hrv-analysis', a Python package for Heart Rate Variability (HRV) analysis. 'hrv-analysis' is an open-source package for the Python statistical computing environment, which supports a wide variety of time, frequency and non-linear HRV analysis methods. It also includes several functions for signal preprocessing like outliers and ectopic beat removal. This package is suitable for researchers, professionals working in healthcare as well as for developers and more widely for anyone willing to perform detailed analysis on heart rate variability. 'hrv-analysis' was developed as part of the Aura project. Aura is a non-profit project aiming to develop an open-source forecasting system to help people suffering from epilepsy regain autonomy in their everyday lives. This package was developed using Python 3.
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spelling doaj.art-41320258a6c14aceb6a6a12454541e462022-12-21T21:25:24ZengUbiquity PressJournal of Open Research Software2049-96472021-10-019110.5334/jors.305258A Python Package for Heart Rate Variability Analysis and Signal PreprocessingRobin Champseix0Laurent Ribiere1Clément Le Couedic2Data scientist, OCTO Technology, ParisData Engineer, former OCTO Technology employee, ParisResearcher, AURA association, ParisThis paper presents 'hrv-analysis', a Python package for Heart Rate Variability (HRV) analysis. 'hrv-analysis' is an open-source package for the Python statistical computing environment, which supports a wide variety of time, frequency and non-linear HRV analysis methods. It also includes several functions for signal preprocessing like outliers and ectopic beat removal. This package is suitable for researchers, professionals working in healthcare as well as for developers and more widely for anyone willing to perform detailed analysis on heart rate variability. 'hrv-analysis' was developed as part of the Aura project. Aura is a non-profit project aiming to develop an open-source forecasting system to help people suffering from epilepsy regain autonomy in their everyday lives. This package was developed using Python 3.https://openresearchsoftware.metajnl.com/articles/305pythonheart-rate variabilityrr-interval
spellingShingle Robin Champseix
Laurent Ribiere
Clément Le Couedic
A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
Journal of Open Research Software
python
heart-rate variability
rr-interval
title A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
title_full A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
title_fullStr A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
title_full_unstemmed A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
title_short A Python Package for Heart Rate Variability Analysis and Signal Preprocessing
title_sort python package for heart rate variability analysis and signal preprocessing
topic python
heart-rate variability
rr-interval
url https://openresearchsoftware.metajnl.com/articles/305
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