Abstract
The blood pressure patterns obtained from a linearly or stepwise deflating cuff exhibit personalized traits, such as fairly uniform peak patterns and regular beat geometry; it can support the diagnosis and monitoring of hypertensive patients with reduced sensitivity to fluctuations in Blood Pressure (BP) over time. Monitoring of personalized trait in Oscillometric Arterial Blood Pressure Measurements (OABPM) uses the Linear Discriminant Analysis (LDA) algorithm. The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. Data collection consists of blood pressure data using auscultatory measurements and pressure oscillations data obtained from the oscillometric method. Preprocessing involves the normalization of various sized oscillometric waveforms to a uniform size. Feature extraction involves the use of features from oscillometric amplitudes, and trait identification involves the use of the LDA algorithm. In this paper, it presents a novel OABPM‐based blood pressure monitoring system that can monitor personalized blood pressure pattern. Our approach can reduce sensitivity to fluctuations in blood pressure with the features extracted from the whole area in oscillometric arterial blood pressure measurement. Therefore this technique offers reliable blood pressure patterns. This study provides a cornerstone for the diagnosis and management of hypertension in the foreseeable future.
Highlights
Blood pressure BP is a vital sign, which along with body temperature, heart rate, and respiratory rate provides various physiological statistics about the body
This paper aims to explore blood pressure pattern identification to find personalized traits in oscillometric arterial blood pressure measurements using the linear discriminant Analysis LDA algorithm
This study aimed to explore a new blood pressure patterns identification model for personalized traits monitoring of oscillometric arterial blood pressure measurements using the linear discriminant analysis algorithm
Summary
Blood pressure BP is a vital sign, which along with body temperature, heart rate, and respiratory rate provides various physiological statistics about the body. Small changes in the BP over a period of time can provide clues about cardiovascular and respiratory abnormalities in a patient. Oscillometry is one of the widely used methods to determine the blood pressure 1– 7. The oscillometric method of measuring blood pressure uses the amplitude of cuff pressure oscillations from a linearly or stepwise deflating cuff and is given as two values, the systolic and diastolic pressures. The cuff pressure oscillations consist of waveforms.
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