Cited by 28Non-Invasive Vital Sign MonitoringBlood Pressure and Hypertension StudiesCardiovascular Health and Disease Prevention

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

How Important is the Recommended Slow Cuff Pressure Deflation Rate for Blood Pressure Measurement?

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Zheng, Dingchang, Amoore, John N., Mieke, Stephan, Murray, Alan·2011·Annals of Biomedical Engineering

Abstract

Cuff pressure deflation rate influences blood pressure (BP) measurement. However, there is little quantitative clinical evidence on its effect. Oscillometric pulses recorded from 75 subjects at the recommended deflation rate of 2-3 mmHg per second were analyzed. Some pulses were removed to realize six faster rates (2-7 times faster than the original). Systolic, diastolic, and mean arterial blood pressures (SBP, DBP, MAP) were determined from the original and six reconstructed oscillometric waveforms. Manual measurement was based on the appearance of oscillometric pulse peaks, and automatic measurement on two model envelopes (linear and polynomial) fitted to the sequence of oscillometric pulse amplitudes. The effects of deflation rate on BP determination and within-subject BP variability were analyzed. For SBP and DBP determined from the manual measurement, different deflation rates resulted in significant changes (both p < 0.001). However, for SBP, DBP, and MAP determined from the automatic linear and polynomial model techniques, there was no deflation rate effect (all p > 0.3). Faster deflation increased the within-subject BP variability (all p < 0.001). In conclusion, for the manual technique accurate BP measurement could be achieved only with the recommended slow deflation rate, and for the automatic model-based techniques, the deflation rate had little effect.

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Crossref · 10.1007/s10439-011-0347-9

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  • Automation can be much less prone to errors from fast deflation than auscultation, depending on the analysis technique used.

    “While auscultation is prone to significant errors with fast deflation, automation can be much less prone to these errors, depending on the analysis technique used, as shown by Zheng et al. [65].”
  • Variability between repeat measurements almost doubled with fast deflation, but could be improved with oscillometric modelling techniques.

    “However, they studied three repeat measurements, and also showed that variability between repeat measurements almost doubled with fast deflation, but could be improved with oscillometric modelling techniques.”

Citations

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Research works printed but not linked: 15

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Metadata

Authors
Zheng, D., Amoore, J. N., Mieke, S., & Murray, A.
Affiliations
  • Freeman Hospital (GB)
  • NHS Ayrshire and Arran (GB)
  • Physikalisch-Technische Bundesanstalt (DE)
Corresponding author
Zheng, Dingchang
Venue
Annals of Biomedical Engineering
Published
2011-07-07
Volume
39
Issue
10
Pages
2584-2591
ISSN
  • 0090-6964 (ISSN-L)
  • 1573-9686
OpenAlex
W2064380414
Cited by
28
References
1
Citations by year
2025: 1 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 2 · 2017: 6 · 2016: 1 · 2015: 1 · 2014: 2 · 2013: 2
FWCI
0.95
Type
journal article
Language
en
Open access
Locations
  • Annals of Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
Engineering and Physical Sciences Research Council (EP/F012764/1, EP/I027270/1)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
Keywords
blood pressure measurement, oscillometric blood pressure, systolic blood pressure, diastolic blood pressure, mean arterial pressure, manual blood pressure measurement
MeSH terms
Adolescent, Adult, Aged, Blood Pressure, Blood Pressure Determination, Data Interpretation, Statistical, Diastole, Female, Heart Rate, Humans, Male, Middle Aged, Oscillometry, Signal Processing, Computer-Assisted, Systole

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