A Suction Detection System for Rotary Blood Pumps Based on the Lagrangian Support Vector Machine Algorithm

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A Suction Detection System for Rotary Blood Pumps Based on the Lagrangian Support Vector Machine Algorithm

Wang, Yu - Nama Orang; Simaan, Marwan A. - Nama Orang;

Abstract—The left ventricular assist device is a rotary mechanicalpumpthatisimplantedinpatientswithcongestiveheartfailure tohelptheleftventricleinpumpingbloodinthecirculatorysystem. However,usingsuchadevicemayresultinaverydangerousevent, called ventricular suction, that can cause ventricular collapse due to overpumping of blood from the left ventricle when the rotational speed of the pump is high. Therefore, a reliable technique for detecting ventricular suction is crucial. This paper presents a new suction detection system that can precisely classify pump ﬂow patterns, based on a Lagrangian support vector machine (LSVM) model that combines six suction indices extracted from the pump ﬂowsignaltomakeadecisionaboutwhetherthepumpisinsuction, approaching suction, or not in suction. The proposed method has been tested using in vivo experimental data based on two different pumps. The simulation results show that the system can produce superior performance in terms of classiﬁcation accuracy, stability, learning speed, and good robustness compared to three other existing suction detection methods and the original support vector machine (SVM) algorithm. The ability of the proposed algorithm to detect suction provides a reliable platform for the development ofafeedbackcontrolsystemtocontrolthespeedofthepumpwhile at the same time ensuring that suction is avoided.

IndexTerms—Lagrangiansupportvectormachine(LSVM),left ventricular assist device (LVAD), suction detection.

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Judul Seri: -
No. Panggil: -
Penerbit: : IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013
Deskripsi Fisik: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 654-663
Bahasa: English
ISBN/ISSN: 2168-2194
Klasifikasi: NONE
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Edisi: -
Subjek: TEKNOLOGI KEDOKTERAN
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Yu Wang, and Marwan A. Simaan

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A Suction Detection System for Rotary Blood Pumps Based on the Lagrangian Support Vector Machine Algorithm

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