Key result
Meditation is linked to enhanced complexity of heart rate dynamics versus pre-meditation states.
Why the study?
Does meditation change the complexity of cardiac dynamics as measured by chaos-based non-linear techniques?
Observational (n=12)
Does meditation change the complexity of cardiac dynamics as measured by chaos-based non-linear techniques?
Non-linear analysis techniques like multi-fractal detrended fluctuation and visibility network analysis can quantitatively measure the physiological impact of meditation on heart rate dynamics.
Answers are grounded in this paper and cite their sources.
Meditation may enhance heart rate complexity; hypothesis-generating and should not change practice pending randomized trials.
The cardiac dynamics during meditation is explored quantitatively with two chaos-based non-linear techniques viz. multi-fractal detrended fluctuation analysis and visibility network analysis techniques. The data used are the instantaneous heart rate (in beats/minute) of subjects performing Kundalini Yoga and Chi meditation from PhysioNet. The results show consistent differences between the quantitative parameters obtained by both the analysis techniques. This indicates an interesting phenomenon of change in the complexity of the cardiac dynamics during meditation supported with quantitative parameters. The results also produce a preliminary evidence that these techniques can be used as a measure of physiological impact on subjects performing meditation.
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Bhaduri et al. (2016) conducted an observational in Healthy subjects performing meditation (n=12). Meditation (Chi and Kundalini Yoga) vs. Pre-meditation state was evaluated on Complexity of cardiac dynamics measured by multi-fractal detrended fluctuation analysis (MF-DFA) and visibility network analysis (PSVG). Meditation significantly enhanced the complexity of heart rate dynamics compared to pre-meditation states, as measured by increased multi-fractal spectral widths and visibility graph scale-freeness.
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