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Do meditators and non-meditators have different HRV dynamics?

机译:冥想者和非冥想者是否具有不同的HRV动态?

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Purpose: The heart is a complex system and many researchers have been recently studying cardiac behavior using the theory of non-linear dynamical systems. One of the most appealing tools for analyzing heart function is the heart rate variability (HRV) signal. This study aimed to elucidate the HRV dynamics of six distinct states: spontaneous normal breathing (SNB) and metronomic breathing (MB), as non-meditator groups, before Chinese Chi meditation (CCM), during CCM, before Kundalini yoga meditation (KYM), and during KYM, as meditator groups.Methods: The HRV data were obtained from the Physionet database. Lagged Poincare indices, Lyapunov exponent (LE), Lempel-Ziv complexity (LZ), and 4 types of entropy were calculated.Results: The results showed the greatest discrepancies in the lagged Poincare indices for KYM and CCM. In contrast, the least variations were achieved for MB. Compared to SNB, an enhancement in the log energy entropy and a reduction in the LZ and other entropies were concluded during KYM and CCM practices. In contrast, a reverse pattern was observed for MB. Using support vector machine, HRV dynamics were classified with average accuracies of 99.14 and 98.2% and average sensitivities of 99.87 and 99.57% for pre-KYM and during KYM, respectively.Conclusion: It was shown that the HRV dynamics were significantly different in meditators and non-meditators. (C) 2018 Elsevier B.V. All rights reserved.
机译:目的:心脏是一个复杂的系统,最近许多研究人员已使用非线性动力学系统的理论研究心脏行为。用于分析心脏功能的最吸引人的工具之一是心率变异性(HRV)信号。这项研究旨在阐明非冥想者群体的六个独立状态的HRV动态:自然静息呼吸(SNB)和节律性呼吸(MB),中医冥想之前(CCM),中医冥想期间,昆达里尼瑜伽冥想之前(KYM)方法:HRV数据是从Physionet数据库中获得的。计算了滞后的Poincare指数,李雅普诺夫指数(LE),Lempel-Ziv复杂度(LZ)和4种熵。结果:结果表明,滞后的Poincare指数与KYM和CCM的差异最大。相反,MB的变化最小。与SNB相比,在KYM和CCM实践中得出结论,对数能量熵增加,LZ和其他熵减少。相反,对于MB观察到相反的模式。使用支持向量机对HRV动力学进行分类,对于KYM之前和KYM期间的HRV动力学的平均准确度分别为99.14和98.2%,平均灵敏度分别为99.87和99.57%。非冥想者。 (C)2018 Elsevier B.V.保留所有权利。

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