Abstract
A fractional-order vascular model representation for emulating arterial hemody-namics has been recently presented as an alternative to the well-known integer-order arterial Windkessel. The model uses a fractional-order capacitor (FOC) to describe the complex and frequency-dependent arterial compliance. This paper presents a two-stage algorithm based on modulating functions for finite-time simultaneous estimation of the model's input and the fractional differentiation order. The proposed approach is validated using in-silico human data. Results show the prominent potential of this method for calibrating arterial models and enhancing cardiovascular mechanics research as well as clinical practice.
Original language | English (US) |
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Pages | 538-543 |
Number of pages | 6 |
DOIs | |
State | Published - 2021 |
Event | 11th IFAC Symposium on Biological and Medical Systems BMS 2021 - Ghent, Belgium Duration: Sep 19 2021 → Sep 22 2021 |
Conference
Conference | 11th IFAC Symposium on Biological and Medical Systems BMS 2021 |
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Country/Territory | Belgium |
City | Ghent |
Period | 09/19/21 → 09/22/21 |
Keywords
- Fractional derivative
- Joint-estimation
- Modulating functions
- Windkessel model
ASJC Scopus subject areas
- Control and Systems Engineering