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Correlation analysis of human upper arm parameters to oscillometric signal in automatic blood pressure measurement

Bomi Lee1, Jae-Hak Jeong1, Junki Hong1

  • 1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

Scientific Reports
|November 17, 2022
PubMed

Insights

This study demonstrates that automatic sphygmomanometers can estimate brachial artery diameter by analyzing the oscillometric signal. This offers a novel, non-invasive method for monitoring cardiovascular risk factors during routine blood pressure measurement.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology

Background:

  • Cardiovascular diseases are a leading global cause of mortality.
  • Automatic sphygmomanometers are widely used for blood pressure monitoring.
  • Accurate cardiovascular health monitoring is crucial.

Purpose of the Study:

  • To investigate the correlation between upper arm parameters and oscillometric signals from automatic sphygmomanometers.
  • To determine if brachial artery diameter can be estimated using these devices.
  • To explore a novel method for cardiovascular risk assessment.

Main Methods:

  • Analytical, numerical, and experimental investigations were conducted.
  • Parametric studies focused on the influence of brachial artery dimensions.
  • Experiments utilized a cardiovascular simulator and upper arm phantoms with varying artery radii.

Main Results:

  • The inner radius of the brachial artery was identified as the most influential parameter on oscillometric signal amplitude.
  • A 10% variation in artery radius resulted in a 6.5% change in oscillometric signal amplitude.
  • The oscillometric signal reliably indicates brachial artery diameter.

Conclusions:

  • The oscillometric signal from automatic sphygmomanometers can be used to evaluate brachial artery diameter.
  • This provides a novel method for monitoring cardiovascular risks (hypertension, diabetes, obesity).
  • Routine blood pressure measurements can be leveraged for enhanced cardiovascular health surveillance.

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