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Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements
In the assessment of autonomic function by heart rate variability (HRV), the framework that the power of high-frequency component or its surrogate indices reflects parasympathetic activity, while the power of low-frequency component or LF/HF reflects sympathetic activity has been used as the theoret...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630879/ https://www.ncbi.nlm.nih.gov/pubmed/34847967 http://dx.doi.org/10.1186/s40101-021-00272-y |
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author | Hayano, Junichiro Yuda, Emi |
author_facet | Hayano, Junichiro Yuda, Emi |
author_sort | Hayano, Junichiro |
collection | PubMed |
description | In the assessment of autonomic function by heart rate variability (HRV), the framework that the power of high-frequency component or its surrogate indices reflects parasympathetic activity, while the power of low-frequency component or LF/HF reflects sympathetic activity has been used as the theoretical basis for the interpretation of HRV. Although this classical framework has contributed greatly to the widespread use of HRV for the assessment of autonomic function, it was obtained from studies of short-term HRV (typically 5‑10 min) under tightly controlled conditions. If it is applied to long-term HRV (typically 24 h) under free-running conditions in daily life, erroneous conclusions could be drawn. Also, long-term HRV could contain untapped useful information that is not revealed in the classical framework. In this review, we discuss the limitations of the classical framework and present studies that extracted autonomic function indicators and other useful biomedical information from long-term HRV using novel approaches beyond the classical framework. Those methods include non-Gaussianity index, HRV sleep index, heart rate turbulence, and the frequency and amplitude of cyclic variation of heart rate. |
format | Online Article Text |
id | pubmed-8630879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86308792021-12-01 Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements Hayano, Junichiro Yuda, Emi J Physiol Anthropol Review In the assessment of autonomic function by heart rate variability (HRV), the framework that the power of high-frequency component or its surrogate indices reflects parasympathetic activity, while the power of low-frequency component or LF/HF reflects sympathetic activity has been used as the theoretical basis for the interpretation of HRV. Although this classical framework has contributed greatly to the widespread use of HRV for the assessment of autonomic function, it was obtained from studies of short-term HRV (typically 5‑10 min) under tightly controlled conditions. If it is applied to long-term HRV (typically 24 h) under free-running conditions in daily life, erroneous conclusions could be drawn. Also, long-term HRV could contain untapped useful information that is not revealed in the classical framework. In this review, we discuss the limitations of the classical framework and present studies that extracted autonomic function indicators and other useful biomedical information from long-term HRV using novel approaches beyond the classical framework. Those methods include non-Gaussianity index, HRV sleep index, heart rate turbulence, and the frequency and amplitude of cyclic variation of heart rate. BioMed Central 2021-11-30 /pmc/articles/PMC8630879/ /pubmed/34847967 http://dx.doi.org/10.1186/s40101-021-00272-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Hayano, Junichiro Yuda, Emi Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title | Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title_full | Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title_fullStr | Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title_full_unstemmed | Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title_short | Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements |
title_sort | assessment of autonomic function by long-term heart rate variability: beyond the classical framework of lf and hf measurements |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630879/ https://www.ncbi.nlm.nih.gov/pubmed/34847967 http://dx.doi.org/10.1186/s40101-021-00272-y |
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