Type
ArticleKAUST Department
Computer, Electrical, and Mathematical Sciences, and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaElectrical and Computer Engineering Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2022-03-22Permanent link to this record
http://hdl.handle.net/10754/676226
Metadata
Show full item recordAbstract
The blood flow dynamics in human arteries with hypertension disease is modeled using fractional calculus. The mathematical model is constructed using five-element lumped parameter arterial Windkessel representation. Fractional-order capacitors are used to represent the elastic properties of both proximal large arteries and distal small arteries measured from the heart aortic root. The proposed fractional model offers high flexibility in characterizing the arterial complex tree network. The results illustrate the validity of the new model and the physiological interpretability of the fractional differentiation order through a set of validation using human hypertensive patients. In addition, the results show that the fractional-order modeling approach yield a great potential to improve the understanding of the structural and functional changes in the large and small arteries due to hypertension disease.Citation
Bahloul, M. A., Aboelkassem, Y., & Laleg-Kirati, T.-M. (2022). Human Hypertension Blood Flow Model Using Fractional Calculus. Frontiers in Physiology, 13. https://doi.org/10.3389/fphys.2022.838593Sponsors
Dr. Ali Haneef, associate consultant cardiac surgeon and co-chairman quality management at King Faisal Cardiac Center, King Abdulaziz Medical City, National Guard Health Affairs, in the Western Region, Jeddah, KSAPublisher
Frontiers Media SAJournal
Frontiers in physiologyPubMed ID
35392372PubMed Central ID
PMC8980459Additional Links
https://www.frontiersin.org/articles/10.3389/fphys.2022.838593/fullae974a485f413a2113503eed53cd6c53
10.3389/fphys.2022.838593
Scopus Count
Except where otherwise noted, this item's license is described as Archived with thanks to Frontiers in physiology under a Creative Commons license, details at: https://creativecommons.org/licenses/by/4.0/
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