Literature DB >> 20443135

Biofeedback of heart rate variability and related physiology: a critical review.

Amanda L Wheat1, Kevin T Larkin.   

Abstract

Low heart rate variability (HRV) characterizes several medical and psychological diseases. HRV biofeedback is a newly developed approach that may have some use for treating the array of disorders in which HRV is relatively low. This review critically appraises evidence for the effectiveness of HRV and related biofeedback across 14 studies in improving (1) HRV and baroreflex outcomes and (2) clinical outcomes. Results revealed that HRV biofeedback consistently effectuates acute improvements during biofeedback practice, whereas the presence of short-term and long-term carry-over effects is less clear. Some evidence suggests HRV biofeedback may result in long-term carry-over effects on baroreflex gain, which is an area most promising for future investigations. On the other hand, concerning clinical outcomes, there is ample evidence attesting to efficacy of HRV biofeedback. However, because clinical and physiological outcomes do not improve concurrently in all cases, the mechanism by which HRV biofeedback results in salutary effects in unclear. Considerations for the field in addressing shortcomings of the reviewed studies and advancing understanding of the way in which HRV biofeedback may improve physiological and clinical outcomes are offered in light of the reviewed evidence.

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Mesh:

Year:  2010        PMID: 20443135     DOI: 10.1007/s10484-010-9133-y

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  31 in total

1.  Entropy analysis of tri-axial leg acceleration signal waveforms for measurement of decrease of physiological variability in human gait.

Authors:  Yuki Tochigi; Neil A Segal; Tanawat Vaseenon; Thomas D Brown
Journal:  J Orthop Res       Date:  2011-12-05       Impact factor: 3.494

2.  Effects of heart rate variability biofeedback on cardiovascular responses and autonomic sympathovagal modulation following stressor tasks in prehypertensives.

Authors:  S Chen; P Sun; S Wang; G Lin; T Wang
Journal:  J Hum Hypertens       Date:  2015-04-30       Impact factor: 3.012

3.  One-Year Cardiovascular Prognosis of the Randomized, Controlled, Short-Term Heart Rate Variability Biofeedback Among Patients with Coronary Artery Disease.

Authors:  Li-Ching Yu; I-Mei Lin; Sheng-Yu Fan; Chin-Lung Chien; Tsung-Hsien Lin
Journal:  Int J Behav Med       Date:  2018-06

4.  Determination of heart rate variability with an electronic stethoscope.

Authors:  Haroon Kamran; Isaac Naggar; Francisca Oniyuke; Mercy Palomeque; Priya Chokshi; Louis Salciccioli; Mark Stewart; Jason M Lazar
Journal:  Clin Auton Res       Date:  2012-09-27       Impact factor: 4.435

5.  Low cardiac vagal control is associated with genetic liability for elevated triglycerides and risky health behaviors.

Authors:  Jared D Martin; Frank D Mann; Robert F Krueger
Journal:  Biol Psychol       Date:  2020-05-11       Impact factor: 3.251

6.  Managing anxiety disorders with the neuro-biofeedback method of Brain Boy Universal Professional.

Authors:  Eleftheria Zafeiri; Vasileios Dedes; Kostantinos Tzirogiannis; Agapi Kandylaki; Maria Polikandrioti; Dimitris Panidis; Georgios I Panoutsopoulos
Journal:  Health Psychol Res       Date:  2022-05-27

7.  Biofeedback to treat anxiety in young people at clinical high risk for developing psychosis.

Authors:  Laina McAusland; Jean Addington
Journal:  Early Interv Psychiatry       Date:  2016-08-29       Impact factor: 2.732

8.  Role of editing of R-R intervals in the analysis of heart rate variability.

Authors:  Mirja A Peltola
Journal:  Front Physiol       Date:  2012-05-23       Impact factor: 4.566

9.  Biofeedback for treatment of irritable bowel syndrome.

Authors:  Joshua Z Goldenberg; Matthew Brignall; Michelle Hamilton; Jennifer Beardsley; Richard D Batson; Jason Hawrelak; Brad Lichtenstein; Bradley C Johnston
Journal:  Cochrane Database Syst Rev       Date:  2019-11-12

10.  Novel Methodological Tools for Behavioral Interventions: The Case of HRV-Biofeedback. Sham Control and Quantitative Physiology-Based Assessment of Training Quality and Fidelity.

Authors:  Ewa Ratajczak; Marcin Hajnowski; Mateusz Stawicki; Włodzisław Duch
Journal:  Sensors (Basel)       Date:  2021-05-25       Impact factor: 3.576

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