Biomechanical model for detection of vertigo disease

Abstract

© 2016 IEEE. Benign Paroxysmal Positional Vertigo (BPPV) is most common vestibular disorder influencing the quality of life to considerable percentage of population after the age of forty. In this study the three-dimensional biomechanical model of the semi-circular canal (SCC) is described with full 3D fluid-structure interaction of particles, wall, cupula deformation and endolymph fluid flow. Oculus Rift device was used for experimental results of head motion and eye tracking and correlation with biomechanical model. 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. Particle tracking algorithm has been used for particle motion. Different size and number of particles with their full interaction between themselves, wall and cupula deformation are used. Velocity distribution, shear stress and force from endolymph side are presented for parametric one SCC and patient specific three SCC. All the models are used for correlation with the same experimental protocols with head moving and nystagmus eye tracking. A good correlation was found with numerical simulation of membrane deflection and nystagmus response detected with tracking technology. It can be used for virtual games with detection of vestibular disorders to the users.