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On using Maximum Amplitude a Posteriori Probability based on a Bayesian Model for Oscillometric Blood Pressure Estimation

Title
On using Maximum Amplitude a Posteriori Probability based on a Bayesian Model for Oscillometric Blood Pressure Estimation
Author
이수정
Keywords
oscillometric blood pressure estimation; systolic and diastolic ratios; Bayesian model; maximum amplitude algorithm; VARIABILITY; ERROR
Issue Date
2013-10
Publisher
MDPI AG, POSTFACH, CH-4005 BASEL, SWITZERLAND
Citation
Sensors (Basel, Switzerland), 2013, 13(10), P.13609-13623
Abstract
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.
URI
http://www.mdpi.com/1424-8220/13/10/13609/http://hdl.handle.net/20.500.11754/51705
ISSN
1424-8220
DOI
10.3390/s131013609
Appears in Collections:
INDUSTRY-UNIVERSITY COOPERATION FOUNDATION[S](산학협력단) > ETC
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