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Nonlinear Analysis of the Separate Contributions of Autonomic Nervous Systems to Heart Rate Variability Using Principal Dynamic Modes

机译:基于主动态模式的自主神经系统对心率变异性的单独贡献的非线性分析

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This work introduces a modified Principal Dynamic Modes (PDM) method, which for the first time is able to separate the dynamics of sympathetic and parasympathetic nervous activities. The minimum set of expansion basis functions, which is required to achieve a given mean-square approximation, is termed PDMs of the nonlinear system. We found that the first two dominant PDMs have similar frequency characteristics for parasympathetic and sympathetic activities. Validation of the purported separation of parasympathetic and sympathetic activities was performed by the application of the autonomic nervous system blocking drugs atropine and propranolol. These results are consistent for all nine of our healthy human subjects using oar modified PDM approach in both of the conditions of single blockade and double blockade. Comparison of our method to the conventional low/high frequency ratio shows that our proposed approach provides more accurate assessment of the autonomic nervous balance.
机译:这项工作引入了改进的主动态模式(PDM)方法,这是第一次能够分离交感神经和副交感神经活动的动态。实现给定平均方形近似所需的最小扩展基函数集被称为非线性系统的PDM。我们发现前两个主导PDMS具有类似的频率和交感神经活动的频率特征。通过应用自主主义神经系统阻断药物阿托品和普萘洛尔来验证副交感神经和交感神经活性的声称分离。这些结果对于使用OAR改性的PDM方法在单个封锁和双封闭的条件下使用OAR改性PDM方法是一致的。我们对传统低/高频比的方法的比较表明,我们的提出方法提供了对自主神经平衡的更准确评估。

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