Prediction of Benign Paroxysmal Positional Vertigo Disease using Biomechanical Model and Eye Tracking Technology

Nenad Filipovic, Velibor Isailovic1, Igor Saveljic2, Dalibor Nikolic2, Zarko Milosevic2, Dusan Pavlovic3

  • 1BioIRC, Research and Development Center for Bioengineering, Kragujevac
  • 2University of Kragujevac
  • 3Center for Hearing and Balance

Details

14:40 - 14:50 | Thu 16 Feb | Salon 6-7 | ThB2.2

Session: Thu2.2: Computational Methods for Predictive Medicine

Abstract

Benign paroxysmal positional vertigo (BPPV) is the most commonly diagnosed vertigo disease. BPPV is diagnosed by tracking the eye movements or nystagmus. We have developed technology for pupil horizontal and vertical as well as rotational motion detection. Also three-dimensional biomechanical model of the SCC is described with full 3D fluid-structure interaction of particles, wall, cupula deformation and endolymph fluid flow. A full Navier-Stokes equations and continuity equations are used for fluid domain with Arbitrary-Lagrangian Eulerian (ALE) formulation for mesh motion. Fluid-structure interaction for fluid coupling with cupula deformation is used. Different size and number of particles with their full interaction between themselves, wall and cupula deformation are used. We compared results of simulation with real patient data for right anterior vHIT test. This technology can be used for prediction of BPPV disease.