Wavelet Estimation of Pulse Rate Variability from Oscillometric Blood Pressure Measurements

被引：9

作者：

Ahmad, Saif ^{[1
]}

Bolic, Miodrag ^{[1
]}

Dajani, Hilmi ^{[1
]}

Groza, Voicu ^{[1
]}

机构：

[1] Univ Ottawa, SITE, Ottawa, ON, Canada

来源：

MEMEA: 2009 IEEE INTERNATIONAL WORKSHOP ON MEDICAL MEASUREMENTS AND APPLICATIONS | 2009年

关键词：

electrocardiogram; peak-to-peak interval; pulse wave; variability; wavelet spectral density;

D O I：

10.1109/MEMEA.2009.5167950

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We propose a wavelet-based spectral density estimation method for characterizing pulse rate variability of short duration oscillometric blood pressure signals produced by a digital blood pressure monitor during routine measurements. To validate our wavelet metric we compare its performance with other techniques by studying correlations of pulse rate variability with age and mean arterial pressure. Our results indicate that the proposed wavelet metric offers a superior and accurate characterization of variability of short duration oscillometric blood pressure signals.

引用

页码：37 / 40

页数：4

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