Analysis of degree of nonlinearity and stochastic nature of HRV signal during meditation using delay vector variance method.
L Ram Gopal Reddy, Srinivas Kuntamalla
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2011 DOI: 10.1109/iembs.2011.6090746 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Secondary analysis of public database signals Peer reviewed |
|---|---|
| Population | Heart rate variability signals recorded during Chi and Kundalini meditation, obtained from the MIT/BIH PhysioNet database |
| Interventions | Chi meditation Kundalini meditation |
| Measures | delay vector variance (DVV) method |
| Topics | Meditation |
| Key points | The authors report that the nonlinearity and stochastic nature of HRV signals changed significantly before versus during meditation (p value > 0.01). Chi meditation showed increased stochasticity and decreased nonlinearity, while Kundalini meditation showed significant decreases in both nonlinearity and stochasticity. |
Abstract
Heart rate variability analysis is fast gaining acceptance as a potential non-invasive means of autonomic nervous system assessment in research as well as clinical domains. In this study, a new nonlinear analysis method is used to detect the degree of nonlinearity and stochastic nature of heart rate variability signals during two forms of meditation (Chi and Kundalini). The data obtained from an online and widely used public database (i.e., MIT/BIH physionet database), is used in this study. The method used is the delay vector variance (DVV) method, which is a unified method for detecting the presence of determinism and nonlinearity in a time series and is based upon the examination of local predictability of a signal. From the results it is clear that there is a significant change in the nonlinearity and stochastic nature of the signal before and during the meditation (p value > 0.01). During Chi meditation there is a increase in stochastic nature and decrease in nonlinear nature of the signal. There is a significant decrease in the degree of nonlinearity and stochastic nature during Kundalini 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 |