自主神经系统变化时数字脉搏体积图的频谱分析

Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1994-11-03 DOI:10.1109/IEMBS.1994.415441

J. Scharf, T. L. Rusch

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引用次数: 0

摘要

生理波形的频谱分析为了解自主神经系统提供了一个窗口。虽然心电图(EKG)和动脉血压波形(ABP)已经以这种方式进行了广泛的分析，但作者的目的是确定是否可以从数字脉搏体积图(DPP)中提取类似的信息。在应用已知的自主神经刺激(低氧血症、苯基麻风、全身麻醉)时，DPP谱分析导致自主神经谱的预期变化。DPP可以提供心电图所没有的关于外周循环的自主信息，并且比ABP的侵入性小。

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Spectral analysis of digital pulse plethysmograms during autonomic nervous system changes

Spectral analysis of physiologic waveforms provides a window into the autonomic nervous system. Although electrocardiograms (EKG) and arterial blood pressure waveforms (ABP) have been analyzed extensively in this manner, the authors' objective was to determine if similar information could be extracted from digital pulse plethysmograms (DPP). DPP spectral analysis during application of known autonomic stimuli (hypoxemia, phenyleprine, general anesthesia) resulted in the anticipated changes in autonomic spectra. DPP may provide autonomic information regarding the peripheral circulation which is not available in EKG, and less invasive than ABP.

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Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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