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Related Experiment Video

Updated: Jul 6, 2026

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

Fluid-particle dynamics in canalithiasis.

Dominik Obrist¹, Stefan Hegemann

¹Institute of Fluid Dynamics, ETH Zurich, 8092 Zurich, Switzerland. obrist@ifd.mavt.ethz.ch

Journal of the Royal Society, Interface

|March 6, 2008

Summary

This study models how particles in the inner ear

Area of Science:

Fluid dynamics
Inner ear physiology
Vestibular system disorders

Background:

Semicircular canals (SCCs) detect angular motion via fluid flow.
Canalithiasis, caused by displaced particles, disrupts SCC function.
This disruption leads to benign paroxysmal positional vertigo (BPPV).

Purpose of the Study:

Investigate the fluid dynamics of particles within the SCCs.
Elucidate the mechanisms underlying canalithiasis.
Develop a model to link particle-fluid interactions to vertigo symptoms.

Main Methods:

Developed an idealized analytical model of SCC fluid flow and particles.
Employed numerical solutions for the complete model.
Conducted a detailed analytical study of the linearized model.

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Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

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Last Updated: Jul 6, 2026

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Main Results:

Identified key mechanisms driving canalithiasis.
Characterized canalithiasis using novel dimensionless numbers.
Derived direct relationships between these numbers and clinical vertigo symptoms.

Conclusions:

The analytical model effectively explains canalithiasis mechanisms.
Proposed dimensionless numbers provide a quantitative framework for BPPV.
This work offers insights into vertigo symptom generation and potential diagnostics.