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Anatomy of Respiratory System I: Upper Respiratory Tract01:29

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Developing an Empirical Acoustic Transfer Function Model for the Upper Airway.

Walid Ashraf1, Ali Alqudah2, Matthew Band3

  • 1Biomedical Engineering Program, University of Manitoba, Winnipeg, Manitoba, Canada. Walid.ashraf@umanitoba.ca.

Annals of Biomedical Engineering
|October 18, 2025
PubMed
Summary
This summary is machine-generated.

This pilot study developed a patient-specific acoustic model of the upper airway. Model parameters correlated with height and BMI, paving the way for diagnosing respiratory disorders.

Keywords:
Acoustic transfer functionRespiratory diagnosticsRespiratory disorder diagnosisSystem identificationUpper airway modelling

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Area of Science:

  • Biomedical Engineering
  • Acoustic Modelling
  • Respiratory Physiology

Background:

  • Accurate acoustic modeling of the upper airway is crucial for understanding respiratory mechanics.
  • Developing patient-specific models can improve diagnostic capabilities for respiratory disorders.

Purpose of the Study:

  • To introduce a novel approach for upper airway acoustic modeling.
  • To develop a patient-specific transfer function of the upper airway.
  • To investigate correlations between acoustic model parameters and anatomical features.

Main Methods:

  • Generated a signal at the mouth and recorded output at the suprasternal notch.
  • Tested five protocols, identifying white noise with passive breathing as most consistent.
  • Modeled the transfer function as a cascade of six 2nd order systems.

Main Results:

  • The most consistent protocol used white noise and passive breathing.
  • Standard errors for peak frequency and amplitude differences were <10% and <5 dB, respectively.
  • Significant correlations found between natural frequency and height (-0.91) and transfer function gain and BMI (0.69).

Conclusions:

  • This study is an initial step toward an acoustic transfer function of the upper airway.
  • This approach could be used to classify and diagnose respiratory disorders.
  • Patient-specific acoustic modeling shows promise for respiratory health assessment.