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HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity
Since the pioneering studies of the 1960s, heart rate variability (HRV) has become an increasingly used non-invasive tool for examining cardiac autonomic functions and dysfunctions in various populations and conditions. Many calculation methods have been developed to address these issues, each with...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118625/ https://www.ncbi.nlm.nih.gov/pubmed/27920726 http://dx.doi.org/10.3389/fphys.2016.00557 |
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author | Pichot, Vincent Roche, Frédéric Celle, Sébastien Barthélémy, Jean-Claude Chouchou, Florian |
author_facet | Pichot, Vincent Roche, Frédéric Celle, Sébastien Barthélémy, Jean-Claude Chouchou, Florian |
author_sort | Pichot, Vincent |
collection | PubMed |
description | Since the pioneering studies of the 1960s, heart rate variability (HRV) has become an increasingly used non-invasive tool for examining cardiac autonomic functions and dysfunctions in various populations and conditions. Many calculation methods have been developed to address these issues, each with their strengths and weaknesses. Although, its interpretation may remain difficult, this technique provides, from a non-invasive approach, reliable physiological information that was previously inaccessible, in many fields including death and health prediction, training and overtraining, cardiac and respiratory rehabilitation, sleep-disordered breathing, large cohort follow-ups, children's autonomic status, anesthesia, or neurophysiological studies. In this context, we developed HRVanalysis, a software to analyse HRV, used and improved for over 20 years and, thus, designed to meet laboratory requirements. The main strength of HRVanalysis is its wide application scope. In addition to standard analysis over short and long periods of RR intervals, the software allows time-frequency analysis using wavelet transform as well as analysis of autonomic nervous system status on surrounding scored events and on preselected labeled areas. Moreover, the interface is designed for easy study of large cohorts, including batch mode signal processing to avoid running repetitive operations. Results are displayed as figures or saved in TXT files directly employable in statistical softwares. Recordings can arise from RR or EKG files of different types such as cardiofrequencemeters, holters EKG, polygraphs, and data acquisition systems. HRVanalysis can be downloaded freely from the Web page at: https://anslabtools.univ-st-etienne.fr HRVanalysis is meticulously maintained and developed for in-house laboratory use. In this article, after a brief description of the context, we present an overall view of HRV analysis and we describe the methodological approach of the different techniques provided by the software. |
format | Online Article Text |
id | pubmed-5118625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51186252016-12-05 HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity Pichot, Vincent Roche, Frédéric Celle, Sébastien Barthélémy, Jean-Claude Chouchou, Florian Front Physiol Physiology Since the pioneering studies of the 1960s, heart rate variability (HRV) has become an increasingly used non-invasive tool for examining cardiac autonomic functions and dysfunctions in various populations and conditions. Many calculation methods have been developed to address these issues, each with their strengths and weaknesses. Although, its interpretation may remain difficult, this technique provides, from a non-invasive approach, reliable physiological information that was previously inaccessible, in many fields including death and health prediction, training and overtraining, cardiac and respiratory rehabilitation, sleep-disordered breathing, large cohort follow-ups, children's autonomic status, anesthesia, or neurophysiological studies. In this context, we developed HRVanalysis, a software to analyse HRV, used and improved for over 20 years and, thus, designed to meet laboratory requirements. The main strength of HRVanalysis is its wide application scope. In addition to standard analysis over short and long periods of RR intervals, the software allows time-frequency analysis using wavelet transform as well as analysis of autonomic nervous system status on surrounding scored events and on preselected labeled areas. Moreover, the interface is designed for easy study of large cohorts, including batch mode signal processing to avoid running repetitive operations. Results are displayed as figures or saved in TXT files directly employable in statistical softwares. Recordings can arise from RR or EKG files of different types such as cardiofrequencemeters, holters EKG, polygraphs, and data acquisition systems. HRVanalysis can be downloaded freely from the Web page at: https://anslabtools.univ-st-etienne.fr HRVanalysis is meticulously maintained and developed for in-house laboratory use. In this article, after a brief description of the context, we present an overall view of HRV analysis and we describe the methodological approach of the different techniques provided by the software. Frontiers Media S.A. 2016-11-22 /pmc/articles/PMC5118625/ /pubmed/27920726 http://dx.doi.org/10.3389/fphys.2016.00557 Text en Copyright © 2016 Pichot, Roche, Celle, Barthélémy and Chouchou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Pichot, Vincent Roche, Frédéric Celle, Sébastien Barthélémy, Jean-Claude Chouchou, Florian HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title | HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title_full | HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title_fullStr | HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title_full_unstemmed | HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title_short | HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity |
title_sort | hrvanalysis: a free software for analyzing cardiac autonomic activity |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118625/ https://www.ncbi.nlm.nih.gov/pubmed/27920726 http://dx.doi.org/10.3389/fphys.2016.00557 |
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