The Application of Non-linear Flow Resistance in Cerebral Artery: Compared with Windkessel Model based on Genetic Algorithm

Liu，H.1; Wang，L.2; Chan，K.2; Xiong，L.2; Leng，L.2; Shi，L.2; Leung，T. W.2; Chen，F.3; Zheng，D.1

10.1109/EMBC.2019.8857963

2019-07-01

1557-170X

978-1-5386-1312-2

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2285-2288

23-27 July 2019

Berlin, Germany

345 E 47TH ST, NEW YORK, NY 10017 USA

Institute of Electrical and Electronics Engineers Inc.

Continuous blood pressure is measured from various extracranial body sites, with difference in amplitude and phase with intracranial blood pressure. Consequent influences on the accuracy of Windkessel model need further investigation.Between blood pressure and intracranial flow rate, a model with non-linear flow resistance (R-DT) was proposed and compared with the 3-element Windkessel (RCR) model. From the measured blood flow velocity in middle cerebral artery, the blood pressure was estimated by R-DT and RCR models respectively. The parameters in the models were optimized by genetic algorithm. The accuracies of R-DT and RCR models were compared based on their estimation errors to the measured blood pressure.The capacitance element in RCR model indicated limited ability to take the time shift into account. Compared with RCR model, R-DT model had less error (averaged relative error: 5.19% and 2.49% for RCR and RDT models). The non-linear flow resistance was applicable in simulating cerebral arteries.

Blood pressure Pressure measurement Genetic algorithms Immune system Mathematical model Velocity measurement Arteries

其他

英语

EI ; CPCI-S

Engineering

Engineering, Biomedical ; Engineering, Electrical & Electronic

WOS:000557295302162

20200308037320

Genetic algorithms ; Blood ; Errors ; Flow velocity

Biological Materials and Tissue Engineering:461.2 ; Biology:461.9 ; Fluid Flow:631 ; Mechanical Variables Measurements:943.2

2-s2.0-85077862622

Scopus

1.Medical Technology Research Centre,Anglia Ruskin University,Chelmsford, Essex,Bishop Road,United Kingdom
2.Chinese University of Hong Kong,Shatin,Hong Kong
3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,China

Liu，H.,Wang，L.,Chan，K.,et al. The Application of Non-linear Flow Resistance in Cerebral Artery: Compared with Windkessel Model based on Genetic Algorithm[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2019:2285-2288.