Type-2 fuzzy system based blood pressure parameters estimation

Al-Jaafreh, MO; Al-Jumaily, AA

Type-2 fuzzy system based blood pressure parameters estimation

Al-Jaafreh, MO Al-Jumaily, AA

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008, 2008, pp. 953 - 958
Issue Date:: 2008-09-01

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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	2008-09-01	en_US
dc.identifier.citation	Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008, 2008, pp. 953 - 958	en_US
dc.identifier.isbn	9780769531366	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10745
dc.description.abstract	Blood pressure parameters; Systolic, Diastolic and Mean Blood Pressure, have high correlation relationship with heart rate, but this relationship is nonlinear, multimode, and ambiguity. Type-2 Fuzzy is an intelligent technique and it has high capability to deal with the problem with high uncertainty that blood pressure parameters with heart rate relationship can be classify under them. This paper presents an Interval Type-2 Fuzzy System to estimate Systolic, Diastolic and Mean blood pressure; based on the relationship between systolic, diastolic and mean blood pressures and heart rate. The Interval Type-2 Fuzzy System is used to estimate systolic, diastolic and mean blood pressures values of thirty cases. The results are compared with real reading of systolic, diastolic and mean blood pressure and very encouraging results are achieved; the absolute value of mean of difference between real systolic, diastolic and mean blood pressures and estimated systolic, diastolic and mean blood pressures are less than 5 mmIIg. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008	en_US
dc.relation.isbasedon	10.1109/AMS.2008.132	en_US
dc.title	Type-2 fuzzy system based blood pressure parameters estimation	en_US
dc.type	Conference Proceeding
utslib.for	0802 Computation Theory and Mathematics	en_US
dc.location.activity	Kuala Lumpur	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	open_access
pubs.publication-status	Published	en_US

Abstract:

Blood pressure parameters; Systolic, Diastolic and Mean Blood Pressure, have high correlation relationship with heart rate, but this relationship is nonlinear, multimode, and ambiguity. Type-2 Fuzzy is an intelligent technique and it has high capability to deal with the problem with high uncertainty that blood pressure parameters with heart rate relationship can be classify under them. This paper presents an Interval Type-2 Fuzzy System to estimate Systolic, Diastolic and Mean blood pressure; based on the relationship between systolic, diastolic and mean blood pressures and heart rate. The Interval Type-2 Fuzzy System is used to estimate systolic, diastolic and mean blood pressures values of thirty cases. The results are compared with real reading of systolic, diastolic and mean blood pressure and very encouraging results are achieved; the absolute value of mean of difference between real systolic, diastolic and mean blood pressures and estimated systolic, diastolic and mean blood pressures are less than 5 mmIIg. © 2008 IEEE.

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http://hdl.handle.net/10453/10745