TY - GEN
T1 - Two-Element Fractional-Order Windkessel Model to Assess the Arterial Input Impedance
AU - Bahloul, Mohamed
AU - Laleg-Kirati, Taous-Meriem
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): BAS/1/1627-01-01
Acknowledgements: Research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST) Base Research Fund (BAS/1/1627-01-01). Additionally, the authors would like to thank 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, KSA and Dr. Nesrine T. Bahloul, medical intern at Department of Pediatrics, Sfax Medical School, Hedi Chaker Hospital, Sfax, Tunisia, for their assistance and valuable advices.
PY - 2019/10/8
Y1 - 2019/10/8
N2 - Arterial system is completely coupled with the heart, such that the contractile state of the left ventricle and its produced central blood pressure (the pressure in the aorta) are in tune with the arterial mechanical properties. This study investigates the use of fractional-order capacitor and resistor elements to expose, and estimate the main arterial mechanical properties. We propose a simple two-element fractional-order Windkessel model that is able to capture the real aortic impedance dynamic for different cardiac physiological states. To perform a quantitative validation, in-silico ascending aortic blood pressure and flow database of 3,325 virtual subjects was used. The proposed model provides new simplified tool for
AB - Arterial system is completely coupled with the heart, such that the contractile state of the left ventricle and its produced central blood pressure (the pressure in the aorta) are in tune with the arterial mechanical properties. This study investigates the use of fractional-order capacitor and resistor elements to expose, and estimate the main arterial mechanical properties. We propose a simple two-element fractional-order Windkessel model that is able to capture the real aortic impedance dynamic for different cardiac physiological states. To perform a quantitative validation, in-silico ascending aortic blood pressure and flow database of 3,325 virtual subjects was used. The proposed model provides new simplified tool for
UR - http://hdl.handle.net/10754/660367
UR - https://ieeexplore.ieee.org/document/8857722/
UR - http://www.scopus.com/inward/record.url?scp=85077860858&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2019.8857722
DO - 10.1109/EMBC.2019.8857722
M3 - Conference contribution
C2 - 31946987
SN - 9781538613115
SP - 5018
EP - 5023
BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PB - IEEE
ER -