Abstract
Constanza Larsen1, Lorena Pradenas1* and Sebastián EGodoy2 Author Affiliations 1Department of Industrial Engineering Universidad de Concepción, Chile 2Department of Electrical Engineering, Universidad de Concepción, Chile Received: August 20, 2020 | Published: September 02, 2020 Corresponding author: Lorena Pradenas, Department of Industrial Engineering Universidad de Concepción, Chile DOI: 10.26717/BJSTR.2020.30.004883
Highlights
Arterial blood pressure (BP) is one of the most important vital signs of the cardiovascular system and it is often used as a measure of health in general
Results for systolic and diastolic blood pressure estimation using regression models are presented as follows
Systolic blood pressure estimation showed promising results and was close to meet the Advancement of Medical Instrumentation (AAMI) standard, though it will be necessary to improve upon the regression models implemented
Summary
Arterial blood pressure (BP) is one of the most important vital signs of the cardiovascular system and it is often used as a measure of health in general. Systolic blood pressure (SBP) is the highest pressure measured during a cardiac cycle, whereas the diastolic blood pressure (DBP) corresponds to the lowest pressure during a cardiac cycle [3]. The conventional methods for measuring blood pressure can be classified into invasive and non-invasive methods [2,4,5,6,7]. Despite providing a continuous and exact measurement, this method is usually restricted to a hospital environment because medical supervision is required [4, 5]
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