A Practical Guide to Resonance Frequency Assessment for Heart Rate Variability Biofeedback

Frontiers in Neuroscience

Fred Shaffer¹  Zachary M. Meehan² 

[1] Center for Applied Psychophysiology, Truman State University, Kirksville, MO, United States;Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States;

关键词: biofeedback;    complexity;    emotional self-regulation;    heart rate variability;    neurocardiology;    resonance;   

DOI  :  10.3389/fnins.2020.570400

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown