Heart assist devices: Modeling and diagnostics

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

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
    Title of host publication2014 Middle East Conference on Biomedical Engineering, MECBME 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages208-211
    Number of pages4
    ISBN (Print)9781479947997
    DOIs
    StatePublished - Jan 1 2014
    Event2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014 - Doha, Qatar
    Duration: Feb 17 2014Feb 20 2014

    Other

    Other2014 2nd Middle East Conference on Biomedical Engineering, MECBME 2014
    Country/TerritoryQatar
    CityDoha
    Period2/17/142/20/14

    Keywords

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

    ASJC Scopus subject areas

    • Biomedical Engineering

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