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Validation of Instantaneous Bispectral High-Frequency Power of Heartbeat Dynamics as a Marker of Cardiac Vagal Activity

机译:验证心跳动力学的瞬时双光谱高频功率作为心脏迷离活动的标志物

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Nonlinear analysis has been advocated as a very powerful methodological framework to study physiological signals, particularly when applied to heartbeat dynamics. To this extent, estimation of high-frequency (0.15-0.40 Hz) power from bispectra of cardiovascular variability series has been engaged as a marker of nonlinear vagal activity. Nevertheless, a proper validation of this specific measure has not been yet performed. In this study, we estimate instantaneous, nonlinear bispectral indices during postural changes under sympathetic and parasympathetic nervous system blockade. The analysis was performed on data from 14 healthy subjects undergoing a control supine-to-upright routine where they were selectively administered either atropine or propanolol. Instantaneous bis-pectra were obtained through Laguerre-transformed, linear and nonlinear kernels of a Wiener-Volterra model applied to heartbeat dynamics, embedded into a recently proposed inhomogeneous point-process framework. Results demonstrate that the integration of bispectra accounting for nonlinear cardiovascular control dynamics within the high-frequency band provides potentially reliable markers of vagal activity.
机译:非线性分析被提倡作为研究生理信号的非常强大的方法论框架,特别是在应用于心跳动态时。在这种程度上,从心血管变化序列的BISPectra估计来自BISPECTRA的高频(0.15-0.40 Hz)电力已被啮合作为非线性迷失活动的标志物。然而,尚未执行对该特定措施的适当验证。在这项研究中,我们在交感神经和副交感神经系统封闭期间估计瞬间非线性双光谱指数。对来自14个健康受试者的数据进行分析,该受试者正在进行控制仰直的常规,其中选择性地施用阿托品或丙醇。通过应用于心跳动力学的Wiener-Volterra模型的Laguerre转化的,线性和非线性核,嵌入到最近提出的不均匀点过程框架中获得瞬时BIS-PECTRA。结果表明,高频带内非线性心血管控制动力学的BISPectra算法的集成提供了潜在的迷走活动标记。

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