DocumentCode
2922574
Title
Modeling bacterial clearance using stochastic-differential equations
Author
Atalla, Ashraf ; Jeremic, Aleksandar
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
746
Lastpage
751
Abstract
Capillary - tissue fluid exchange is controlled by the blood pressure in the capillary and the osmotic pressure of blood (pressure of the tissue fluid outside the capillaries). In this paper, we develop a mathematical model to simulate the movement of bacteria into and within a capillary segment. The model is based on Fokker-Planck equation and Navier-Stocks equations that accounts for different boundary conditions. Also, we model the transportation through capillary walls by means of anisotropic diffusivity that depends on the pressure difference across the capillary walls. By solving the model with a numerical method, it was possible to predict the concentration of bacteria at points within the capillary. However, numerical analysis consumes computational time and resources. To efficiently simulate the bacterial clearance, we propose a segmentation model that is based on breaking the capillary network into smaller sections with pre-defined properties in order to reduce the overall computational time. The proposed model shows a great reduction in computational time and provides accurate results when compared to the numerical analysis.
Keywords
Fokker-Planck equation; Navier-Stokes equations; biodiffusion; blood; cell motility; differential equations; haemorheology; microorganisms; stochastic processes; Fokker-Planck equation; Navier-Stokes equations; anisotropic diffusivity; bacterial clearance; blood pressure; capillary walls; capillary-tissue fluid exchange; mathematical model; osmotic pressure; segmentation model; stochastic-differential equations; Absorption; Blood pressure; Computational modeling; Equations; Mathematical model; Microorganisms; Numerical models; Algorithms; Animals; Bacterial Load; Capillaries; Capillary Permeability; Computer Simulation; Humans; Models, Biological; Models, Statistical; Stochastic Processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626318
Filename
5626318
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