Literature DB >> 35579767

Evaluation of Heart Rate Variability and Application of Heart Rate Variability Biofeedback: Toward Further Research on Slow-Paced Abdominal Breathing in Zen Meditation.

Masahito Sakakibara1.   

Abstract

This review summarizes my own involvement in heart rate variability (HRV) and HRV biofeedback studies, as a tribute to the late Dr. Evgeny Vaschillo. I first review psychophysiological studies on behavioral stress and relaxation performed in my laboratory using an assessment of cardiac parasympathetic activity. Although magnitude of high-frequency (HF) component of HRV corresponding respiratory sinus arrhythmia (RSA) is widely used as an index of cardiac parasympathetic function, a respiratory confound during stress or relaxation may have interfered with the proper assessment of the HF HRV. An enhanced method under frequency-controlled respiration at 0.25 Hz provided a reliable assessment of cardiac parasympathetic activity. I then review findings from HRV biofeedback research in my laboratory. Based on the hypothesis that RSA measured as an HF component of HRV represents cardiorespiratory resting function, it was demonstrated that HRV biofeedback before sleep enhanced the magnitude of HF HRV during sleep, a cardiorespiratory resting function. Moreover, by focusing on the spectral peak of the low-frequency (LF) component of HRV, paced breathing at the LF-peak frequency was shown to increase baroreflex sensitivity. Finally, I describe the potential of slow-paced abdominal breathing (i.e., Tanden breathing) performed in Zen meditation. The concept of Tanden breathing as described in a regimen from early modern Japan is introduced, and recent research findings on slow-paced abdominal breathing are summarized. Future research directions of slow-paced abdominal breathing are also discussed.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cardiac autonomic function; Heart rate variability; Heart rate variability biofeedback; Paced breathing; Zen meditation

Year:  2022        PMID: 35579767     DOI: 10.1007/s10484-022-09546-2

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


  55 in total

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Authors:  Masaki Fumoto; Ikuko Sato-Suzuki; Yoshinari Seki; Yuko Mohri; Hideho Arita
Journal:  Neurosci Res       Date:  2004-11       Impact factor: 3.304

2.  Paced respiratory sinus arrhythmia as an index of cardiac parasympathetic tone during varying behavioral tasks.

Authors:  P Grossman; G Stemmler; E Meinhardt
Journal:  Psychophysiology       Date:  1990-07       Impact factor: 4.016

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Authors:  G G Berntson; J T Bigger; D L Eckberg; P Grossman; P G Kaufmann; M Malik; H N Nagaraja; S W Porges; J P Saul; P H Stone; M W van der Molen
Journal:  Psychophysiology       Date:  1997-11       Impact factor: 4.016

4.  Heart rate variability: sleep stage, time of night, and arousal influences.

Authors:  M H Bonnet; D L Arand
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1997-05

5.  Psychosocial nursing therapy following sudden cardiac arrest: impact on two-year survival.

Authors:  M J Cowan; K C Pike; H K Budzynski
Journal:  Nurs Res       Date:  2001 Mar-Apr       Impact factor: 2.381

6.  Effects of paced respiration on anxiety reduction in a clinical population.

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Journal:  Biofeedback Self Regul       Date:  1990-09

Review 7.  Respiratory sinus arrhythmia: autonomic origins, physiological mechanisms, and psychophysiological implications.

Authors:  G G Berntson; J T Cacioppo; K S Quigley
Journal:  Psychophysiology       Date:  1993-03       Impact factor: 4.016

8.  A behavioral analysis of diaphragmatic breathing and its effects on peripheral temperature.

Authors:  M Bacon; R Poppen
Journal:  J Behav Ther Exp Psychiatry       Date:  1985-03

9.  The utility of prolonged respiratory exhalation for reducing physiological and psychological arousal in non-threatening and threatening situations.

Authors:  B M Cappo; D S Holmes
Journal:  J Psychosom Res       Date:  1984       Impact factor: 3.006

10.  Moderating laboratory adaptation with the use of a heart-rate variability biofeedback device (StressEraser).

Authors:  Matthew R Ebben; Vadim Kurbatov; Charles P Pollak
Journal:  Appl Psychophysiol Biofeedback       Date:  2009-05-06
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