Transactions of China Electrotechnical Society  2021, Vol. 36 Issue (4): 738-746    DOI: 10.19595/j.cnki.1000-6753.tces.201253
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Simulation on Pore Conductivity Model of Cerebral Pulsating Blood Flow Conductivity
Ding Xiaodi1,2, Ke Li1, Du Qiang1
1. School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China;
2. College of Information Science and Electronic Technology Jiamusi University Jiamusi 154007 China

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Abstract  Cerebral blood conductivity is an important parameter for brain impedance imaging and brain disease assessment. In order to study the change mechanism of brain blood pulsating conductivity, a model of erythrocyte insulation pore conductivity was established based on Maxwell- Fricke principle. Using hemodynamic parameters as reference indicators, the numerical relationship between blood flow conductivity and geometric parameters of erythrocyte insulation pores was analyzed. Then, a high-resolution model of circle of Willis with porous conductive structure was constructed, the coupled nonlinear differential equations were used to calculate the temporal and spatial distribution of cerebral artery hemodynamic parameters, and the equivalent volume conductivity of non-uniform conductivity blood was simulated. Compared with the steady blood flow model without considering the pore orientation, the peak conductivity of the pore conductivity model increases by 27.6% in one cardiac cycle and 12% at the rest of the time, which is closely related to the heart pumping period. The simulation results are in good agreement with the real pulsating blood conductivity, which proves that the model proposed in this paper can accurately predict the in vivo blood conductivity under different hemorheological conditions.
Key wordsElectrical conductivity      pulsating blood flow      pore conductivity model      cerebral artery model     
Received: 20 September 2020     
PACS: TM930  
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Ding Xiaodi
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Ding Xiaodi,Ke Li,Du Qiang. Simulation on Pore Conductivity Model of Cerebral Pulsating Blood Flow Conductivity[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 738-746.
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