Type-2 Fuzzy Classification of Blood Pressure Parameters

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dc.contributor.author Mahmood, Usman en_US
dc.contributor.author Al-Jaafreh, Moha'Med en_US
dc.contributor.author Al-Jumaily, Adel Ali en_US
dc.contributor.editor M. Palaniswami, Slaven Marusic, and Yee Wei Law en_US
dc.date.accessioned 2009-11-09T05:39:15Z
dc.date.available 2009-11-09T05:39:15Z
dc.date.issued 2007 en_US
dc.identifier 2007000732 en_US
dc.identifier.citation Mahmood Usman, Al-Jumaily Adel, and Al-Jaafreh Moha'Med 2007, 'Type-2 Fuzzy Classification of Blood Pressure Parameters', IEEE, Melbourne, Australia, pp. 595-600. en_US
dc.identifier.issn 1-4244-1502-0 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3169
dc.description.abstract Blood pressure measurement is a highly sensitive task, because even breathing can cause variation as high as 10 mmHg in reading of blood pressure. Due to the presence of high level of uncertainty; the linear model for blood pressure classification is not appropriate. Fuzzy logic systems are capable of producing precise solutions from vague, incomplete, or approximate information, by accommodating the ambiguities and logic. This paper presents a novel type-2 Fuzzy Logic System to estimate and classify blood pressure parameters in appropriate linguistic description. Firstly, a type-2 fuzzy logic system for the classification of blood pressure parameters is designed. Secondly, the proposed model is demonstrated by graphical user interface. The designed fuzzy model for the classification of blood pressure parameters gives more realistic results than linear model. The outcome of this paper is a friendly graphic user interface (GUI). The proposed model takes crisp value of heart rate as an input and generates crisp reading of blood pressure along with its appropriate linguistic classification, e.g., normal, low, or high etc; to provide more clear information to the general public about their cardiac health. The system has been tested and the computed percentage is less than 10% error values of all ten subjects' systolic, diastolic and mean blood pressure. en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ISSNIP.2007.4496910 en_US
dc.title Type-2 Fuzzy Classification of Blood Pressure Parameters en_US
dc.parent The third International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2007 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Melbourne, Australia en_US
dc.identifier.startpage 595 en_US
dc.identifier.endpage 600 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference.location Melbourne, Australia en_US
dc.for 090200 en_US
dc.personcode 0000036206 en_US
dc.personcode 011083 en_US
dc.personcode 02128003 en_US
dc.percentage 100 en_US
dc.classification.name Automotive Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Intelligent Sensors, Sensor Networks and Information Processing en_US
dc.date.activity 20071203 en_US
dc.location.activity Melbourne, Australia en_US
dc.description.keywords blood pressure measurement , cardiology , fuzzy logic , graphical user interfaces , medical computing , pattern classification en_US
dc.staffid 996008 en_US

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