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) |
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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 | |
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 |
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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