Key result
Neural network BP algorithm achieves grade A accuracy with ~1.4 mmHg systolic difference vs auscultation.
Why the study?
Height-based and slope-based criteria for oscillometric blood pressure measurement are disputed for their accuracy, necessitating improved non-invasive methods.
Does a newly developed cuff with piezofilm sensors and a neural network algorithm accurately measure blood pressure?
Does a newly developed cuff with piezofilm sensors and a neural network algorithm accurately measure blood pressure?
A novel neural network-based algorithm using piezofilm sensors meets established accuracy standards for non-invasive blood pressure measurement.
The oscillometric method is the most commonly used automatic monitoring blood pressure measurement method nowadays.Height-based and Slope-based criteria are the two general means used to determine the systolic and diastolic pressures; howeverthey are disputed for their accuracy. Thus, the auscultatory method continues to be the gold-standard for these measurements.In this paper a newly developed cuff with piezofilm sensors and a pressure sensor to collect signals from the brachial artery isinvestigated. Using Neural Networks to classify the acquired pressure signals in various regions, an algorithm is developed andimplemented in signal processing and heart beat/heart rate detection software. The algorithm is tested on 258 measurementsfrom 86 subjects and shows good conformance to the standards set out by the Association for the Advancement of Medical Instrumentation and British Hypertension Society grade A criteria.
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Han et al. (2014) studied Healthy subjects (blood pressure measurement) (n=86). Neural network-based blood pressure measurement algorithm vs. Auscultatory method was evaluated on Mean difference in systolic blood pressure compared to auscultation (MD 1.44). A neural network-based blood pressure measurement algorithm achieved grade A for both systolic and diastolic pressures according to the British Hypertension Society protocol, with mean differences of 1.44 and 1.77 mmHg respectively compared to auscultation.
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