Estimation of mean blood pressure from oscillometric and manual methods

D. Zheng, A. Murray

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

8 Citations (Scopus)
58 Downloads (Pure)

Abstract

The aim of this study was to estimate mean blood pressure from oscillometric and manual methods. Ten healthy subjects were studied with three repeat blood pressure measurements. Manual systolic and diastolic blood pressures (SBP and DBP) were obtained by two trained observers. During the measurement the oscillometric cuff pressure waveform was recorded digitally. The cuff pressure corresponding to the largest oscillometric pulse pressure was taken as the mean arterial pressure (MAP). MAP was also estimated from manual DBP plus one third the pressure change from DBP to SBP. Blood pressure measurement variability and the difference between automated and manual MAP were quantified. The overall coefficients of variability for manual SBP and DBP were 2.2% and 4.5%. Corresponding values for manual and automated MAP were 3.1% and 3.7%. The automated MAP, as a percentage of the difference between manual DBP and SBP was 28plusmn14% (mean plusmn SD), which was lower than the classically assumed mean value of 33%. In conclusion, the relationship between MAP and SBP and DBP is complex with a large between-subject SD variability of 14%.
Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE
Pages941−944
Number of pages4
Volume35
ISBN (Print)978-1-4244-3706-1
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event36th Annual Computers in Cardiology Conference - Park City, United States
Duration: 13 Sept 200916 Sept 2009

Publication series

Name
ISSN (Print)0276-6574
ISSN (Electronic)2325-8853

Conference

Conference36th Annual Computers in Cardiology Conference
Country/TerritoryUnited States
CityPark City
Period13/09/0916/09/09

Bibliographical note

Licensed under the Creative Commons Attribution
License 3.0 (CCAL).

Since volume 33 (2006), CinC has been an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License.

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