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A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback
Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronom...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578229/ https://www.ncbi.nlm.nih.gov/pubmed/33117119 http://dx.doi.org/10.3389/fnins.2020.570400 |
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author | Shaffer, Fred Meehan, Zachary M. |
author_facet | Shaffer, Fred Meehan, Zachary M. |
author_sort | Shaffer, Fred |
collection | PubMed |
description | Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronome because it exhibits complex non-linear oscillations characterized by mathematical chaos. HRV biofeedback displays both heart rate and frequently, respiration, to individuals who can then adjust their physiology to improve affective, cognitive, and cardiovascular functioning. The central premise of the HRV biofeedback resonance frequency model is that the adult cardiorespiratory system has a fixed resonance frequency. Stimulation at rates near the resonance frequency produces large-amplitude blood pressure oscillations that can increase baroreflex sensitivity over time. The authors explain the rationale for the resonance frequency model and provide detailed instructions on how to monitor and assess the resonance frequency. They caution that patterns of physiological change must be compared across several breathing rates to evaluate candidate resonance frequencies. They describe how to fine-tune the resonance frequency following an initial assessment. Furthermore, the authors critically assess the minimum epochs required to measure key HRV indices, resonance frequency test-retest reliability, and whether rhythmic skeletal muscle tension can replace slow paced breathing in resonance frequency assessment. |
format | Online Article Text |
id | pubmed-7578229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75782292020-10-27 A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback Shaffer, Fred Meehan, Zachary M. Front Neurosci Neuroscience Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronome because it exhibits complex non-linear oscillations characterized by mathematical chaos. HRV biofeedback displays both heart rate and frequently, respiration, to individuals who can then adjust their physiology to improve affective, cognitive, and cardiovascular functioning. The central premise of the HRV biofeedback resonance frequency model is that the adult cardiorespiratory system has a fixed resonance frequency. Stimulation at rates near the resonance frequency produces large-amplitude blood pressure oscillations that can increase baroreflex sensitivity over time. The authors explain the rationale for the resonance frequency model and provide detailed instructions on how to monitor and assess the resonance frequency. They caution that patterns of physiological change must be compared across several breathing rates to evaluate candidate resonance frequencies. They describe how to fine-tune the resonance frequency following an initial assessment. Furthermore, the authors critically assess the minimum epochs required to measure key HRV indices, resonance frequency test-retest reliability, and whether rhythmic skeletal muscle tension can replace slow paced breathing in resonance frequency assessment. Frontiers Media S.A. 2020-10-08 /pmc/articles/PMC7578229/ /pubmed/33117119 http://dx.doi.org/10.3389/fnins.2020.570400 Text en Copyright © 2020 Shaffer and Meehan. 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) and the copyright owner(s) 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 | Neuroscience Shaffer, Fred Meehan, Zachary M. A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title | A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title_full | A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title_fullStr | A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title_full_unstemmed | A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title_short | A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback |
title_sort | practical guide to resonance frequency assessment for heart rate variability biofeedback |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578229/ https://www.ncbi.nlm.nih.gov/pubmed/33117119 http://dx.doi.org/10.3389/fnins.2020.570400 |
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