Quantitative assessment of Heart Rate Dynamics during meditation: An ECG based study with Multi-fractality and visibility graph
Anirban eBhaduri, Dipak eGhosh
Frontiers in Physiology July 4, 2016 DOI: 10.3389/fphys.2016.00044 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study Peer reviewed |
|---|---|
| Population | Subjects performing Kundalini Yoga and Chi meditation |
| Interventions | Kundalini Yoga Chi meditation |
| Topics | Meditation |
| Keywords | Fractal Ecg Visibility graph Mf-dfa |
| Key findings | Consistent differences in quantitative parameters from multi-fractal detrended fluctuation analysis and visibility network analysis indicate changes in cardiac complexity during meditation. |
Abstract
Abstract: Abstract: 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.
Comparable studies
Other observational and cohort studies on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Using Self-Report Assessment Methods to Explore Facets of Mindfulness Undergraduate students | 2006 | Observational cohort | |
| Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia | 1992 | Observational cohort | n = 22 |
| Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls | 2005 | Observational cohort | n = 20 |
| Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls | 2011 | Observational cohort | |
| Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Long-term Buddhist practitioners and controls | 2004 | Observational cohort |
Citations in the library
Cited by 5
- Nonlinear analysis of heart rate variability signals in meditative state: a review and perspective BioMedical Engineering OnLine April 13, 2023
- Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers IEEE Access 2023
- Network analysis of meditative states in highly skilled meditators using EEG and horizontal visibility graphs. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference July 1, 2024
- Analysis of heart rate signals during meditation using visibility graph complexity. Cognitive Neurodynamics February 2019
- Meditation-Induced Coherence and Crucial Events. Frontiers in Physiology May 29, 2018
Cites 4
- Meditation Programs for Psychological Stress and Well-being JAMA Internal Medicine January 6, 2014
- Impact of meditation training on the default mode network during a restful state Social Cognitive and Affective Neuroscience March 24, 2012
- Dynamic correlations between heart and brain rhythm during Autogenic meditation Frontiers in Human Neuroscience July 31, 2013
- Attention regulation and monitoring in meditation. Trends in Cognitive Sciences April 1, 2008