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Power Spectral Analysis of Short-Term Blood Pressure Recordings for Assessing Daily Variations of Blood Pressure in Human

机译:短期血压记录的功率谱分析,用于评估人体血压的每日变化

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Although daily variations of blood pressure (BP) predict cardiovascular event risk, their assessment requires ambulatory BP monitoring which hinders the clinical application of this approach. Since the baroreflex is a major determinant of BP variations, especially in the frequency range of 0.01-0.1 Hz (baro-frequency), we hypothesized that the power spectral density (PSD) of short-term BP recordings in the baro-frequency range may predict daily variations of BP. In nine-week-old Wister-Kyoto male rats (N =5) with or without baroreflex dysfunction, we telemetrically recorded continuous BP for 24 hours and estimated PSD using Welch's periodogram for the recordings during the 12-hour light period. We compared the reference PSD of 12-hour recording with the PSDs obtained from shorter data lengths ranging from 5 to 240 minutes. The 30-minute BP recordings reproduced PSD of 12-hour recordingswell, and PSD in the baro-frequency range paralleled the standard deviation of 12-hour BP. Thus, the PSD of 30-minute BP reflects the daily BP variability in rats. In human subjects, we estimated PSD from 30-minute noninvasive continuous BP recordings. The rat and human PSDs shared remarkably similar characteristics. Furthermore, comparison of PSD between elderly and young subjects suggested that the baro-frequency range in humans overlapped with that in rats. In conclusion, PSD derived from 30-minute BP recordings is capable of predicting daily BP variations. Our proposed method may serve as a simple, noninvasive and practical tool for predicting cardiovascular events in the clinical setting.
机译:尽管血压(BP)的每日变化可预测心血管事件的风险,但其评估需要动态BP监测,这阻碍了该方法的临床应用。由于压力反射是BP变化的主要决定因素,尤其是在0.01-0.1 Hz的频率范围内(压力频率),我们假设在压力频率范围内短期BP记录的功率谱密度(PSD)可能预测BP的每日变化。在9周大的Wister-Kyoto雄性大鼠(N = 5)中,有或没有压力反射功能障碍,我们遥测了24小时的连续BP,并使用Welch的周期图估计了PSD,以记录12小时的光照。我们将12小时录制的参考PSD与从5到240分钟的较短数据长度中获得的PSD进行了比较。 30分钟的BP记录重现了12小时BP的PSD,而在气压范围内的PSD平行于12小时BP的标准偏差。因此,30分钟BP的PSD反映了大鼠的每日BP变异性。在人类受试者中,我们从30分钟无创连续BP记录中估计了PSD。大鼠和人的PSD具有非常相似的特征。此外,老年人与年轻人之间PSD的比较表明,人类的气压频率范围与大鼠的气压频率范围重叠。总之,从30分钟的BP记录得出的PSD能够预测每日的BP变化。我们提出的方法可以作为一种简单,无创且实用的工具来预测临床环境中的心血管事件。

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