Heart rate variability during mindful breathing meditation.

Area of Science:

• Physiology
• Neuroscience
• Biofeedback

Background:

• Heart Rate Variability (HRV) is a physiological measure.
• Common HRV metrics like RMSSD and SDRR may not accurately reflect slow breathing patterns in meditation.
• Mindful breathing meditation aims to influence autonomic nervous system activity.

Purpose of the Study:

• To evaluate the suitability of traditional HRV metrics during mindful breathing.
• To introduce a novel metric, the Autonomic Balance Index (ABI), for assessing parasympathetic activity.
• To demonstrate ABI's utility in biofeedback for meditation.

Main Methods:

• Computation of RMSSD and SDRR using Fourier components.
• Development and application of the Autonomic Balance Index (ABI).
• Analysis of HRV data from participants practicing mindful breathing and other meditation techniques.

Main Results:

• RMSSD was found to be unsuitable for slow breathing meditation due to its weighting of higher frequencies.
• The proposed ABI metric effectively quantifies parasympathetic nervous system influence via Respiratory Sinus Arrhythmia.
• ABI showed a significant elevation during mindful breathing meditation.

Conclusions:

• Traditional HRV metrics may be inadequate for assessing physiological changes during slow breathing meditation.
• The Autonomic Balance Index (ABI) is a promising biosignal for biofeedback during meditation.
• ABI provides a more accurate measure of parasympathetic engagement during mindful breathing.