Asymmetry of lagged Poincare plot in heart rate signals during meditation

10.1016/j.jtcme.2020.01.002

Atefeh Goshvarpour；Ateke Goshvarpour

Heart rate variability ； Meditators ； Non-meditators ； Signal asymmetry

Journal of Traditional and Complementary Medicine

11卷1期（2021 / 01 / 01）

16 - 21

英文

Background and aim: Heart rate variability (HRV) quantifies the variability in the heart's beat-to-beat intervals. This signal is a potential marker of cardiac function in normal, pathological, and psychological states. Signal asymmetry refers to an unequal distribution in the signal, which can be found by a two-dimensional Poincare plot. Earlier, heart rate asymmetry (HRA) was assessed using a conventional Poincare plot (lag of 1). In this study, we have investigated the effect of delay on the phase space asymmetry using lagged Poincare's plot. Experimental procedure: This study compared the presence/lack of asymmetries in the HRV data of 12 meditators (four Kundalini yoga (Yoga) at an advanced level of meditation, eight Chinese Chi meditators (Chi) ~1-3 months) to 25 non-meditators (11 spontaneous nocturnal breathing (Normal) and 14 metronomic breathing (Metron)). Poincare's plots were constructed with six different lags, and HRA was calculated. The analysis was conducted using HRV data provided in the Physionet database. Results: The results showed that using conventional Poincare's plot (lag of 1), the lowest HRA was observed in the Metron group. In addition, the HRA index was different between meditators and non-meditator groups. Moreover, as the most significant difference between groups was observed in a delay of 6, the role of the delay selection on the signal asymmetry was revealed. Conclusion: The difference between lagged HRA responses on Yoga in comparison with other groups can be an emphasis on the importance of choosing the type of meditation technique and its effects on the cardiovascular system.

1. Alvarez-Ramirez, J,Echeverria, JC,Meraz, M,Rodriguez, E(2017).Asymmetric acceleration/deceleration dynamics in heart rate variability.Physica A.,479,213.
2. Alvarez-Ramirez, J,Rodriguez, E,Echeverria, JC(2017).fractal scaling behavior of heart rate variability in response to meditation techniques.Chaos, Solit Fractals,99,57-62.
3. Arvanaghi, R,Daneshvar, S,Seyedarabi, H,Goshvarpour, A(2017).Fusion of ECG and ABP signals based on wavelet transform for cardiac arrhythmias classification.Comput Methods Progr Biomed,151,71-78.
4. Boon, KH,Khalil-Hani, M,Malarvili, MB,Sia, CW(2016).Paroxysmal atrial fibrillation prediction method with shorter HRV sequences.Comput Methods Progr Biomed,134,187-196.
5. Castaldo, R,Melillo, P,Bracale, U,Caserta, M,Triassi, M,Pecchia, L(2015).Acute mental stress assessment via short term HRV analysis in healthy adults: a systematic review with meta-analysis.Biomed Signal Process Control,18,370-377.
6. Chialvo, DR,Millonas, MM(1995).Asymmetric unbiased fluctuations are sufficient for the operation of a correlation ratchet.Phys Lett A.,209(1-2),26-30.
7. Costa, M,Goldberger, AL,Peng, CK(2005).Broken asymmetry of the human heartbeat: Loss of time irreversibility in aging and disease.Phys Rev Lett,95(19),198102.
8. Gao, J,Fan, J,W, BW,Zhang, Z(2016).Entrainment of chaotic activities in brain and heart during MBSR mindfulness training.Neurosci Lett,616,218-223.
9. Goshvarpour, A,Abbasi, A,Goshvarpour, A(2017).Indices from lagged Poincare plots of heart rate variability: an efficient nonlinear tool for emotion discrimination.Australas Phys Eng Sci Med,40(2),277-287.
10. Goshvarpour, A,Abbasi, A,Goshvarpour, A(2017).Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged Poincare plots.Australas Phys Eng Sci Med,40(3),617-629.
11. Goshvarpour, A,Goshvarpour, A(2012).Chaotic behavior of heart rate signals during Chi and Kundalini meditation.Int J Image Graph Signal Process,2,23-29.
12. Goshvarpour, A,Goshvarpour, A(2015).Poincare indices for analyzing meditative heart rate signals.Biomed J,38(3),229-234.
13. Goshvarpour, A,Goshvarpour, A(2019).Human identification using information theory-based indices of ECG characteristic points.Expert Syst Appl,127,25-34.
14. Goshvarpour, A,Goshvarpour, A(2012).Recurrence plots of heart rate signals during meditation.Int J Image Graph Signal Process,2,44-50.
15. Goshvarpour, A,Goshvarpour, A.(2019).Do meditators and non-meditators have different HRV dynamics?.Cogn Syst Res,54,21-36.
16. Goshvarpour, A,Goshvarpour, A.(2013).Comparison of higher order spectra in heart rate signals during two techniques of meditation: Chi and Kundalini meditation.Cogn Neurodyn,7(1),39-46.
17. Goshvarpour, A,Goshvarpour, A.(2019).Human identification using a new Matching Pursuit-based feature set of ECG.Comput Methods Progr Biomed,172,87-94.
18. Goshvarpour, A,Goshvarpour, A.(2018).A novel feature level fusion for HRV classification using correntropy and Cauchy-Schwarz divergence.J Med Syst.,42,109.
19. Goshvarpour, A,Goshvarpour, A.(2012).Classification of heart rate signals during meditation using Lyapunov exponents and entropy.Int J Intell Syst Appl,2,35-41.
20. Goshvarpour, A,Goshvarpour, A,Rahati, S(2011).Analysis of lagged Poincaré plots in heart rate signals during meditation.Digit Signal Process,21(2),208-214.
21. Guzik, P,Piskorski, J,Krauze, T,Wykretowicz, A,Wysocki, H(2006).Heart rate asymmetry by Poincaré plots of RR intervals.Biomed. Tech. Biomed Eng.,51(4),272-275.
22. Jiang, J,Chen, X,Zhang, C(2017).Heart rate acceleration runs and deceleration runs in patients with obstructive sleep apnea syndrome.Sleep Breath,21(2),443-451.
23. Karmakar, CK,Khandoker, AH,Gubbi, J,Palaniswami, M(2009).Defining asymmetry in heart rate variability signals using a Poincaré plot.Physiol Meas,30,1227-1240.
24. Karmakar, CK,Khandoker, AH,Palaniswami, M(2012).Investigating the changes in heart rate asymmetry (HRA) with perturbation of parasympathetic nervous system.Australas Phys Eng Sci Med,35,465-474.
25. Karmakar, CK,Khandoker, AH,Palaniswami, M(2015).Phase asymmetry of heart rate variability signal.Physiol Meas,36,303-314.
26. Khazaei, M,Raeisi, K,Goshvarpour, A,Ahmadzadeh, M(2018).Early detection of sudden cardiac death using nonlinear analysis of heart rate variability.Biocybern. Biomed. Eng,38,931-940.
27. Lehrer, P,Sasaki, Y,Saito, Y(1999).Zazen and cardiac variability.Psychosom Med,61,812-821.
28. Li, JHJ,Zhang, Y,Zhang, X(2011).Dynamical complexity changes during two forms of meditation.Physica A.,390,2381-2387.
29. Peng, C-K,Mietus, JE,Liu, Y(1999).Exaggerated heart rate oscillations during two meditation techniques.Int J Cardiol,70,101-107.
30. Phongsuphap, S,Pongsupap, Y,Chandanamattha, P,Lursinsap, C(2008).Changes in heart rate variability during concentration meditation.Int J Cardiol,130,481-484.
31. Piskorski, J,Guzik, P(2007).Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults.Physiol Meas,28,287-300.
32. Song, R,Bian, C,Ma, QDY(2013).Multifractal analysis of heartbeat dynamics during meditation training.Physica A.,392,1858-1862.
33. Yan, C,Li, P,Ji, L,Yao, L,Karmakar, C,Liu, C(2017).Area asymmetry of heart rate variability signal.Biomed Eng Online,16(1),112.