Abstract | ||
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Benign paroxysmal positional vertigo (BPPV) is the most commonly diagnosed vertigo syndrome that affects 15% of older persons. BPPV is characterized by sudden attacks of dizziness and nausea triggered by changes in head orientation, and primarily afflicts the posterior canal. We are modeling human semicircular canals (SSC) which considers the morphology of the organs and the composition of the biological tissues and their viscoelastic and mechanical properties. The Navier-Stokes equations of balance of linear momentum and the continuity equation with application of Penalty method are used. For fluid-structure interaction problem we use loose coupling methodology with ALE (Arbitrary Lagrangian Eulerian) formulation. The tissue of SSC has nonlinear constitutive laws, leading to materially-nonlinear finite element formulation. The incremental-iterative equation is using for nonlinear wall tissue problem. Our results simulate many dynamics position of head and dynamic fluid parameters, shear stress, effective wall stress of membrane. This could help in better diagnostic and therapy process for BPPV disease. |
Year | DOI | Venue |
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2015 | 10.1109/BIBE.2015.7367682 | IEEE International Conference on Bioinformatics and Bioengineering |
Keywords | Field | DocType |
computer modeling,semicircular canals,vestibular system,benign paroxysmal positional vertigo,diagnosed vertigo syndrome,older persons,dizziness,nausea,head orientation,organ morphology,biological tissue composition,viscoelastic properties,mechanical properties,Navier-Stokes equations,linear momentum,penalty method,fluid-structure interaction problem,arbitrary Lagrangian Eulerian formulation,nonlinear constitutive laws,materially-nonlinear finite element formulation,incremental-iterative equation,nonlinear wall tissue problem,dynamics position,dynamic fluid parameters,shear stress,effective wall stress,membrane,diagnostic process,therapy process,BPPV disease | Continuity equation,Nonlinear system,Vestibular system,Computer science,Shear stress,Benign paroxysmal positional vertigo,Finite element method,Mechanics,Vertigo,Artificial intelligence,Machine learning,Penalty method | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zarko Milosevic | 1 | 56 | 10.35 |
Dalibor Nikolic | 2 | 22 | 7.64 |
Igor Saveljic | 3 | 12 | 5.81 |
Milos D Radović | 4 | 30 | 7.47 |
Velibor Isailović | 5 | 9 | 4.31 |
Nebojsa Zdravkovic | 6 | 21 | 5.93 |
Nenad Filipovic | 7 | 59 | 31.21 |