首页> 外文会议>Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE >Separation of sympathetic and parasympathetic nervous control of heart rate variability using principal dynamic modes
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Separation of sympathetic and parasympathetic nervous control of heart rate variability using principal dynamic modes

机译:使用主要动态模式分离交感神经和副交感神经对心率变异性的控制

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This work introduces a modified principal dynamic modes (POM) method, which for the first time is able to separate the dynamics of sympathetic and parasympathetic nervous activities. The PDM is based on the principle that among all possible choices of expansion bases, there are some that require the minimum number of basis functions to achieve a given mean-square approximation of the system output. Such a minimum set of basis functions is termed PDMs of the nonlinear system. We found that the first two dominant PDMs have similar frequency characteristics for parasympathetic and sympathetic activities, as reported in the literature. These results are consistent for all nine of our healthy human subjects using our modified PDM approach. 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. With separate applications of the respective drugs, we found a significant decrease in the amplitude of the waveforms that correspond to each nervous activity. Furthermore, we observed near complete elimination of these dynamics when both drugs were given to the subjects. 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. Our nonlinear PDM approach allows for the first time, a clear separation of the two autonomic nervous activities, the lack of which has been the main reason why heart rate variability analysis has not had wide clinical acceptance.
机译:这项工作引入了一种改进的主动力模式(POM)方法,该方法首次能够分离出交感神经和副交感神经活动的动力学。 PDM基于以下原则:在所有可能的扩展基准选择中,有一些需要最小数量的基准函数才能实现系统输出的给定均方近似值。这种最小的基函数集称为非线性系统的PDM。我们发现,前两个主要的PDM对于副交感神经和交感神经活动具有相似的频率特征,如文献报道。使用改进的PDM方法,对于我们所有九个健康人类受试者的结果都是一致的。通过应用自主神经系统阻断药物阿托品和普萘洛尔对副交感和交感活动的分离进行了验证。通过分别使用各种药物,我们发现与每种神经活动相对应的波形幅度显着下降。此外,当两种药物都给予受试者时,我们观察到这些动力学几乎完全消除。我们的方法与传统的低频/高频比率的比较表明,我们提出的方法可以更准确地评估植物神经平衡。我们的非线性PDM方法首次实现了两种自主神经活动的清晰区分,而这一直是心率变异性分析尚​​未得到广泛临床认可的主要原因。

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