Heart assist devices: Modeling and diagnostics

Taoufik Wassar; Matthew Franchek; Karolos M. Grigoriadis; Cedric Benkowski; Mehmet C. Kadipasaoglu; Steven M. Parnis

doi:10.1109/MECBME.2014.6783241

Heart assist devices: Modeling and diagnostics

Taoufik Wassar, Matthew Franchek, Karolos M. Grigoriadis, Cedric Benkowski, Mehmet C. Kadipasaoglu, Steven M. Parnis

Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper, adaptive stead-state models are presented for axial flow-pumps used as heart assist devices. These models predict flow rate and power consumption of the pump based on the pressure differential (head) and impeller speed. The developed models are identified using system identification techniques on data obtained from a mock circulatory loop. The mock circulatory experiments include physiologic conditions ranging from a healthy heart function to heart failure. The online adaptive nature of these models is used to estimate effective blood viscosity in real-time. Additional mock circulatory loop experiments are performed to emulate flow obstruction at the pump outlet. Results show that the coefficients from the adapted models can be used to detect, identify and estimate the fault.

Original language	English (US)
Title of host publication	2014 Middle East Conference on Biomedical Engineering, MECBME 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	208-211
Number of pages	4
ISBN (Print)	9781479947997
DOIs	https://doi.org/10.1109/MECBME.2014.6783241
State	Published - Jan 1 2014
Event	2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014 - Doha, Qatar Duration: Feb 17 2014 → Feb 20 2014

Other

Other	2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014
Country/Territory	Qatar
City	Doha
Period	2/17/14 → 2/20/14

Keywords

axial-flow pump
pump health monitoring
real-time viscosity estimation
ventricular assist devices

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/MECBME.2014.6783241

Cite this

Wassar, T, Franchek, M, Grigoriadis, KM, Benkowski, C, Kadipasaoglu, MC & Parnis, SM 2014, Heart assist devices: Modeling and diagnostics. in 2014 Middle East Conference on Biomedical Engineering, MECBME 2014., 6783241, Institute of Electrical and Electronics Engineers Inc., pp. 208-211, 2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014, Doha, Qatar, 2/17/14. https://doi.org/10.1109/MECBME.2014.6783241

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title = "Heart assist devices: Modeling and diagnostics",

abstract = "In this paper, adaptive stead-state models are presented for axial flow-pumps used as heart assist devices. These models predict flow rate and power consumption of the pump based on the pressure differential (head) and impeller speed. The developed models are identified using system identification techniques on data obtained from a mock circulatory loop. The mock circulatory experiments include physiologic conditions ranging from a healthy heart function to heart failure. The online adaptive nature of these models is used to estimate effective blood viscosity in real-time. Additional mock circulatory loop experiments are performed to emulate flow obstruction at the pump outlet. Results show that the coefficients from the adapted models can be used to detect, identify and estimate the fault.",

keywords = "axial-flow pump, pump health monitoring, real-time viscosity estimation, ventricular assist devices",

author = "Taoufik Wassar and Matthew Franchek and Grigoriadis, {Karolos M.} and Cedric Benkowski and Kadipasaoglu, {Mehmet C.} and Parnis, {Steven M.}",

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AU - Wassar, Taoufik

AU - Franchek, Matthew

AU - Grigoriadis, Karolos M.

AU - Benkowski, Cedric

AU - Kadipasaoglu, Mehmet C.

AU - Parnis, Steven M.

PY - 2014/1/1

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N2 - In this paper, adaptive stead-state models are presented for axial flow-pumps used as heart assist devices. These models predict flow rate and power consumption of the pump based on the pressure differential (head) and impeller speed. The developed models are identified using system identification techniques on data obtained from a mock circulatory loop. The mock circulatory experiments include physiologic conditions ranging from a healthy heart function to heart failure. The online adaptive nature of these models is used to estimate effective blood viscosity in real-time. Additional mock circulatory loop experiments are performed to emulate flow obstruction at the pump outlet. Results show that the coefficients from the adapted models can be used to detect, identify and estimate the fault.

AB - In this paper, adaptive stead-state models are presented for axial flow-pumps used as heart assist devices. These models predict flow rate and power consumption of the pump based on the pressure differential (head) and impeller speed. The developed models are identified using system identification techniques on data obtained from a mock circulatory loop. The mock circulatory experiments include physiologic conditions ranging from a healthy heart function to heart failure. The online adaptive nature of these models is used to estimate effective blood viscosity in real-time. Additional mock circulatory loop experiments are performed to emulate flow obstruction at the pump outlet. Results show that the coefficients from the adapted models can be used to detect, identify and estimate the fault.

KW - axial-flow pump

KW - pump health monitoring

KW - real-time viscosity estimation

KW - ventricular assist devices

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BT - 2014 Middle East Conference on Biomedical Engineering, MECBME 2014

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 February 2014 through 20 February 2014

ER -

Heart assist devices: Modeling and diagnostics

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Keywords

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