Abstract
Accurate non-invasive blood pressure measurements are vital in preventing and treating many cardiovascular diseases. The “gold standard” for non-invasive procedures is the auscultatory method, which is based on detecting Korotkoff sounds while deflating an arm cuff. Using this method as a “gold standard” requires highly-trained technicians and has an intrinsic uncertainty in its blood pressure predictions. In this paper, we analyze and characterize the origins of this uncertainty. This paper defines an uncertainty model for two consecutive blood pressure measurements. Our research group developed a computer-based simulation of auscultatory blood pressure measurement uncertainty, and these results were compared to a human-subject experiment with a group of 20 diverse-conditioned individuals. Uncertainties were categorized and quantified. The total computer-simulated uncertainty ranged between -8.4 mmHg to 8.4 mmHg in systolic blood pressure and -8.4 mmHg to 8.3 mmHg in diastolic blood pressure at a 95% confidence interval, while the limits in the human-based study ranged from -8.3 mmHg to 8.3 mmHg in systolic blood pressure and -16.7 mmHg to 4.2 mmHg in diastolic blood pressure.
Published Version
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