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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-11-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00557/full |
| _version_ | 1818422888638709760 |
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| author | Vincent Pichot Frédéric Roche Sébastien Celle Jean-Claude Barthélémy Florian Chouchou |
| author_facet | Vincent Pichot Frédéric Roche Sébastien Celle Jean-Claude Barthélémy Florian Chouchou |
| author_sort | Vincent Pichot |
| collection | DOAJ |
| 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: 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. |
| first_indexed | 2024-12-14T13:33:25Z |
| format | Article |
| id | doaj.art-90bf03e7919547f9a8800343dd114ce3 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-14T13:33:25Z |
| publishDate | 2016-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-90bf03e7919547f9a8800343dd114ce32022-12-21T22:59:38ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2016-11-01710.3389/fphys.2016.00557215027HRVanalysis: a free software for analyzing cardiac autonomic activityVincent Pichot0Frédéric Roche1Sébastien Celle2Jean-Claude Barthélémy3Florian Chouchou4University of Lyon, Jean Monnet UniversityUniversity of Lyon, Jean Monnet UniversityUniversity of Lyon, Jean Monnet UniversityUniversity of Lyon, Jean Monnet UniversityNeuroPain UnitSince 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: 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.http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00557/fullAutonomic Nervous SystemSoftwareHeart rate variabilityParasympatheticAutonomic neurosciencesympathetic |
| spellingShingle | Vincent Pichot Frédéric Roche Sébastien Celle Jean-Claude Barthélémy Florian Chouchou HRVanalysis: a free software for analyzing cardiac autonomic activity Frontiers in Physiology Autonomic Nervous System Software Heart rate variability Parasympathetic Autonomic neuroscience sympathetic |
| 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 | Autonomic Nervous System Software Heart rate variability Parasympathetic Autonomic neuroscience sympathetic |
| url | http://journal.frontiersin.org/Journal/10.3389/fphys.2016.00557/full |
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