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Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic.

Benjamin Sackmann1, Ernst Dalhoff2, Michael Lauxmann3

  • 1Reutlingen University, Alteburgstr. 150, 72762, Reutlingen, Germany; Institute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569, Stuttgart, Germany.

Hearing Research
|March 18, 2019
PubMed
Summary

A novel model-based approach enhances middle ear disease diagnosis using wideband tympanometry (WBT). This method transforms qualitative assessments into quantitative, patient-specific evaluations for improved hearing diagnostics.

Keywords:
Fuzzy arithmeticMiddle-ear modelPatient-specific diagnosticWideband tympanometry

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Area of Science:

  • Biomedical Engineering
  • Acoustics
  • Otolaryngology

Background:

  • Current audiometric methods for middle ear disease diagnosis rely on standard curves, limiting quantitative evaluation due to inter-individual variances.
  • Wideband tympanometry (WBT) offers potential but faces specificity and quantitative assessment challenges.

Purpose of the Study:

  • To develop and validate a model-based approach for quantitative, patient-specific diagnosis of middle ear conditions using WBT.
  • To transform qualitative hearing diagnostics into a more precise, tailored approach.

Main Methods:

  • Utilized a finite element model of the human ear, including detailed nonlinear models of the tympanic membrane and annular ligament.
  • Simulated pathologies by altering mechanical parameters and identified pathologies via system identification procedures.
  • Applied fuzzy arithmetic to manage uncertainties and an inverse fuzzy method to determine the most confident parameter set from measurement data.

Main Results:

  • Demonstrated the ability to simulate pathologies like ligament stiffening by adjusting model parameters.
  • Successfully identified pathologies by analyzing parameters obtained through system identification.
  • Illustrated the quantitative determination of parameter changes through system identification, using a two-mass oscillator and malleus fixation simulations.

Conclusions:

  • The model-based approach enables quantitative and patient-specific diagnosis of middle ear diseases from WBT measurements.
  • This method overcomes limitations of traditional audiometric techniques, offering enhanced specificity and diagnostic precision.
  • Fuzzy arithmetic and system identification effectively address uncertainties and enable robust parameter estimation for improved clinical application.