New model to estimate mean blood pressure by heart rate with stroke volume changing influence

Al-Jaafreh, MO; Al-Jumaily, AA

New model to estimate mean blood pressure by heart rate with stroke volume changing influence

Al-Jaafreh, MO Al-Jumaily, AA

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Publication Type:: Conference Proceeding
Citation:: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, pp. 1803 - 1805
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Al-Jaafreh, MO	en_US
dc.contributor.author	Al-Jumaily, AA https://orcid.org/0000-0003-0297-2463	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2006, pp. 1803 - 1805	en_US
dc.identifier.isbn	1424400325	en_US
dc.identifier.isbn	9781424400324	en_US
dc.identifier.issn	0589-1019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2879
dc.description.abstract	Mean Blood Pressure (MBP) has high correlation with Heart Rate (HR), but such e relationship between them is ambiguous and nonlinear. This paper investigates establishing an accurate mathematical model to estimate MBP that is considering the influence of the stroke volume changing. Twenty three cases of MIMIC database [1] are employed; 12 cases for training and 11 cases for verification. The mean and standard deviation for all cases are calculated and compared with real results. Our suggested mathematical model achieved an encouragement results. © 2006 IEEE.	en_US
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en_US
dc.relation.isbasedon	10.1109/IEMBS.2006.259964	en_US
dc.title	New model to estimate mean blood pressure by heart rate with stroke volume changing influence	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	New York, USA	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.publication-status	Published	en_US

Abstract:

Mean Blood Pressure (MBP) has high correlation with Heart Rate (HR), but such e relationship between them is ambiguous and nonlinear. This paper investigates establishing an accurate mathematical model to estimate MBP that is considering the influence of the stroke volume changing. Twenty three cases of MIMIC database [1] are employed; 12 cases for training and 11 cases for verification. The mean and standard deviation for all cases are calculated and compared with real results. Our suggested mathematical model achieved an encouragement results. © 2006 IEEE.

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http://hdl.handle.net/10453/2879