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http://dx.doi.org/10.5391/JKIIS.2012.22.4.500

Modeling of Left Ventricular Assist Device and Suction Detection Using Fuzzy Subtractive Clustering Method  

Park, Seung-Kyu (창원대학교 메카트로닉스공학부)
Choi, Seong-Jin (고려대학교 전자및정보공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.4, 2012 , pp. 500-506 More about this Journal
Abstract
A method to model left ventricular assist device (LVAD) and detect suction occurrence for safe LVAD operation is presented. An axial flow blood pump as a LVAD has been used to assist patient with heart problems. While an axial flow blood pump, a kind of a non-pulsatile pump, has relative advantages of small size and efficiency compared to pulsatile devices, it has a difficulty in determining a safe pump operating condition. It can show different pump operating statuses such as a normal status and a suction status whether suction occurs in left ventricle or not. A fuzzy subtractive clustering method is used to determine a model of the axial flow blood pump with this pump operating characteristic and the developed pump model can provide blood flow estimates before and after suction occurrence in left ventricle. Also, a fuzzy subtractive clustering method is utilized to develop a suction detection model which can identify whether suction occurs in left ventricle or not.
Keywords
LVAD; fuzzy model identification; subtractive clustering; pump operating conditions; suction detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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