Blood Pressure Estimation with Considering of Stroke volume Effect

Al-Jaafreh, M; Al-Jumaily, A

Blood Pressure Estimation with Considering of Stroke volume Effect

Al-Jaafreh, M Al-Jumaily, A

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Publisher:: IGI Global
Publication Type:: Chapter
Citation:: Encyclopaedia of HealthCare Information Systems, 2008, first Edition, pp. 171 - 180
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Al-Jaafreh, M	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.editor	Wickramasinghe, N	en_US
dc.contributor.editor	Geisler, E	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Encyclopaedia of HealthCare Information Systems, 2008, first Edition, pp. 171 - 180	en_US
dc.identifier.isbn	978-1-59904-889-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7847
dc.description.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.	en_US
dc.publisher	IGI Global	en_US
dc.relation.ispartof	Encyclopaedia of HealthCare Information Systems	en_US
dc.title	Blood Pressure Estimation with Considering of Stroke volume Effect	en_US
dc.type	Chapter
utslib.location	USA	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.citation.edition	first Edition	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.edition	first Edition	en_US
pubs.place-of-publication	USA	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/7847