Blood Pressure Estimation with Considering of Stroke Volume Effect

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Author(s): Moha’med O. Al-Jaafreh (University of Technology, Australia)and Adel A. Al-Jumaily (University of Technology, Australia)
Copyright: 2008
Pages: 8
Source title: Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch024

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

The mean arterial pressure (MAP) is a very important cardiovascular parameter for physicians to diagnose various cardiovascular diseases. Many algorithms were used to estimate MAP with different accuracy. These algorithms used different factors, such as blood level, pulses, and external applied pressure, photo-plethysmography (PPG) signal features, heart rate (HR), and other factors. In addition, some natural-based techniques were employed to minimize the difference between estimated and measured blood pressure, as well as to measure blood pressure continuously. This article presents an algorithm to estimate MAP, utilizing the HR, Stroke Volume (SV), and Total Peripheral Resistance (TPR), with considering SV changing influence; this consideration is investigated mathematically, and by the Particle Swarm Optimization (PSO) technique.

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Blood Pressure Estimation with Considering of Stroke Volume Effect

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