Assessment of Fractional-Order Arterial Windkessel as a Model of Aortic Input Impedance
Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Date
2020Permanent link to this record
http://hdl.handle.net/10754/662618
Metadata
Show full item recordAbstract
Goal: Fractional-order Windkessel model is proposed to describe the aortic input impedance. Compared with the conventional arterial Windkessel, the main advantage of the proposed model is the consideration of the viscoelastic nature of the arterial wall using the fractional-order capacitor (FOC). Methods: The proposed model, along with the standard two-element Windkessel, three-element Windkessel, and the viscoelastic Windkessel models, are assessed and compared using in-silico data. Results: The results show that the fractional-order model fits better the moduli of the aortic input impedance and fairly approximates the phase angle. In addition, by its very nature, the pseudo-capacitance of FOC makes the proposed model's dynamic compliance complex and frequency-dependent. Conclusion: The analysis of the proposed fractional-order model indicates that fractional-order impedance yields a powerful tool for a flexible characterization of the arterial hemodynamics.Citation
Bahloul, M. A., & Laleg-Kirati, T.-M. (2020). Assessment of Fractional-Order Arterial Windkessel as a Model of Aortic Input Impedance. IEEE Open Journal of Engineering in Medicine and Biology, 1, 123–132. doi:10.1109/ojemb.2020.2988179Sponsors
Research reported in this publication was supported by King Abdullah University of Science and Technology. Base Research Fund, (BAS/1/1627-01-01).Additional Links
https://ieeexplore.ieee.org/document/9076293/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9076293
ae974a485f413a2113503eed53cd6c53
10.1109/OJEMB.2020.2988179
Scopus Count
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution 4.0 License.