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对体动脉压力信号进行连续、在线、实时频谱分析。

Continuous, on-line, real-time spectral analysis of systemic arterial pressure signals.

作者信息

Kuo T B, Chan S H

机构信息

Institute of Pharmacology, National Yang-Ming Medical College, Taipei, Taiwan, Republic of China.

出版信息

Am J Physiol. 1993 Jun;264(6 Pt 2):H2208-13. doi: 10.1152/ajpheart.1993.264.6.H2208.

Abstract

We present in this communication an algorithm that offers continuous, on-line, real-time analysis of the power spectrum (CORAPS) of systemic arterial pressure (SAP) signals. Based on direct fast Fourier transform of raw SAP signals into power spectral density, it is suitable for the delineation of acute SAP spectral changes over time after physiological or pharmacological perturbations. Thus it is an improvement over most current methods, which only generate the spectra off-line or from intermittent data. Furthermore, all executions can be accomplished economically with a general-purpose personal computer. We demonstrated and quantified vivid sequential alterations in the low-frequency components (< 3 Hz) of the SAP spectrum, which purportedly reflect the influence of vasomotor, baroreceptor, and respiratory activity on SAP during pentobarbital administration or transient hypertension. Three window options incorporated into the algorithm further improved the frequency or temporal resolution and discrimination of the spectral changes during abrupt hypertension or hypotension. Thus our CORAPS algorithm may be useful as an on-line monitor for acute hemodynamic changes.

摘要

在本通讯中,我们提出了一种算法,该算法可对体动脉压(SAP)信号的功率谱进行连续、在线、实时分析(CORAPS)。基于将原始SAP信号直接快速傅里叶变换为功率谱密度,它适用于描绘生理或药理扰动后随时间变化的急性SAP频谱变化。因此,它是对大多数当前方法的改进,当前方法仅离线或从间歇数据生成频谱。此外,所有执行都可以通过通用个人计算机经济地完成。我们展示并量化了SAP频谱低频成分(<3 Hz)中生动的顺序变化,这据称反映了戊巴比妥给药或短暂高血压期间血管舒缩、压力感受器和呼吸活动对SAP的影响。该算法中包含的三种窗口选项进一步提高了频率或时间分辨率以及对突然高血压或低血压期间频谱变化的辨别能力。因此,我们的CORAPS算法可用作急性血流动力学变化的在线监测器。

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