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Analysis of heart rate variability signal during meditation using deterministic-chaotic quantifiers
1Electronics and Communication Department, Manipal Institute of Technology , Manipal-576104 , India.
Journal of Medical Engineering & Technology
|September 19, 2013
Summary
Meditation significantly alters heart rate variability (HRV) dynamics. Studies show higher chaos (CCTM) and lower fractal complexity (HFD) during meditation, linked to parasympathetic nervous system activity.
Area of Science:
- Non-linear dynamics
- Chaos theory
- Physiological signal analysis
Background:
- Heart rate variability (HRV) reflects autonomic nervous system activity.
- Meditation is known to influence physiological states.
- Quantifying complexity in physiological signals is crucial for understanding health.
Purpose of the Study:
- To investigate chaos and fractal patterns in HRV during meditation.
- To apply non-linear dynamics quantifiers to HRV signals.
- To differentiate between pre-meditation and meditation states using HRV analysis.
Main Methods:
- Utilized Component Central Tendency Measures (CCTM) to quantify chaos in HRV.
- Employed Higuchi Fractal Dimension (HFD) to assess HRV complexity.
- Analyzed HRV signals from pre-meditation and meditation states.
Main Results:
- Significantly higher CCTM values were observed during meditation.
- Significantly lower HFD values were found during meditation.
- Both CCTM and HFD effectively discriminated between the two psychophysiological states.
Conclusions:
- Meditation induces distinct changes in HRV complexity and chaos.
- Parasympathetic tone during meditation shifts oscillations, impacting HRV dynamics.
- CCTM and HFD show promise for analyzing physiological state evolution.
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