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Characteristics of HRV patterns for different Yoga postures

机译:不同瑜伽姿势的HRV模式特征

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Human heart rate fluctuates in a complex and non-stationary manner, due to continuous influences from autonomic nervous system and other factors (harmones, temp, etc) on the sinoatrial node (S.A) (Pacemaker of the heart). ANS dysfunction is known to be associated with various cardiovascular and lifestyle diseases. The importance of traditional ancient Indian practice like Yoga has increased significantly due to the observed beneficial effects of it in various lifestyle diseases. Preliminary studies have shown that yoga may have its beneficial effect by influencing autonomic nervous system. Heart rate variability (HRV) is a most promising predictive and prognostic marker of autonomic (ANS) activity. HRV is analyzed by time and frequency domain parameters (Fast Fourier Transform). Being linear parameters these are not able to extract full information regarding the non linear behavior of heart rate fluctuations. In this paper, we propose to analyze HRV by using linear as well as non-linear methods during different yogaasanas. These mathematical models will be useful to understand the underlying physiological mechanisms during different yogasanas.
机译:由于自主神经系统和其他因素对窦房结(S.A)(心脏起搏器)的持续影响,人的心率以复杂且不稳定的方式波动。已知ANS功能障碍与各种心血管疾病和生活方式疾病有关。由于观察到瑜伽在各种生活方式中的有益作用,因此传统的古老印度习俗(如瑜伽)的重要性已大大提高。初步研究表明,瑜伽可能会通过影响自主神经系统而发挥有益作用。心率变异性(HRV)是自主神经(ANS)活动的最有希望的预测和预后标志物。通过时域和频域参数(快速傅立叶变换)分析HRV。作为线性参数,它们无法提取有关心率波动的非线性行为的完整信息。在本文中,我们建议在不同的Yogaasanas中使用线性和非线性方法来分析HRV。这些数学模型将有助于理解不同瑜伽过程中的潜在生理机制。

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