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Comparison of Repeatability of Blood Pressure Measurements between Oscillometric and Auscultatory Methods

Lookup NU author(s): Dr Chengyu Liu, Dr Ding Chang Zheng, Dr Clive Griffiths, Emeritus Professor Alan MurrayORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Oscillometric and auscultatory methods are two main non-invasive blood pressure measurement methods in routine examinations and monitoring. There is currently little information available on the comparison of their repeatabilities when performing more than three repeat measurements. This study aimed to provide this information. Oscillometric cuff pressure waveforms and Korotkoff sound signals were simultaneously and digitally recorded from 20 normotensive subjects. Eight repeat measurements were performed for each subject. SBP, MAP and DBP values were determined from the digitally recorded oscillometric cuff pressure and Korotkoff sound signals using oscillometric and auscultatory methods respectively.The standard deviation of eight SBP, MAP and DBP measurements was calculated for each subject as the index of repeatability (SBPSD, MAP(SD) and DBPSD respectively). The results showed that SBP from the oscillometric method were 2 mmHg higher than those from the auscultatory method (P=0.2). MAP and DBP values from the oscillometric method were significant lower than those from the auscultatory method (both P<0.01) by 7 mmHg and 6 mmHg respectively. The key results were that the repeatability indices from the oscillometric method were all greater for oscillometric measurement by 1.5 mmHg for SBPSD (mean +/- SD: 4.4 +/- 1.8 vs 2.9 +/- 0.9 mmHg), by 1.3 mmHg for MAP(SD) (3.6 +/- 1.1 vs 2.3 +/- 0.9 mmHg), and by 0.8 mmHg for DBPSD (3.4 +/- 1.6 vs 2.6 +/- 1.0 mmHg), suggesting that the widely used oscillometric method can not replace the auscultatory method in clinical applications.

Publication metadata

Author(s): Liu CY, Zheng DC, Griffiths C, Murray A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2015 Computing in Cardiology Conference (CinC)

Year of Conference: 2015

Pages: 1073-1076

Print publication date: 01/01/2015

Online publication date: 18/02/2016

Acceptance date: 01/01/1900

Date deposited: 25/08/2016

ISSN: 2325-887X

Publisher: IEEE


DOI: 10.1109/CIC.2015.7411100

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509006854