On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation

被引：10

作者：

Lee, Soojeong ^{[1
]}

Jeon, Gwanggil ^{[2
]}

Lee, Gangseong ^{[3
]}

机构：

[1] Hanyang Univ, Dept Elect & Comp Engn, Seoul 133791, South Korea

[2] Incheon Natl Univ, Dept Embedded Syst Engn, Inchon 406772, South Korea

[3] Kwangwoon Univ, Sch Gen Educ, Seoul 139701, South Korea

来源：

SENSORS | 2013年 / 13卷 / 10期

基金：

新加坡国家研究基金会;

关键词：

oscillometric blood pressure estimation; systolic and diastolic ratios; Bayesian model; maximum amplitude algorithm;

D O I：

10.3390/s131013609

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The maximum amplitude algorithm (MAA) is generally utilized in the estimation of the pressure values, and it uses heuristically obtained ratios of systolic and diastolic oscillometric amplitude to the mean arterial pressure (known as systolic and diastolic ratios) in order to estimate the systolic and diastolic pressures. This paper proposes a Bayesian model to estimate the systolic and diastolic ratios. These ratios are an improvement over the single fixed systolic and diastolic ratios used in the algorithms that are available in the literature. The proposed method shows lower mean difference (MD) with standard deviation (SD) compared to the MAA for both SBP and DBP consistently in all the five measurements.

引用

页码：13609 / 13623

页数：15

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