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Predicting spirometry readings using cough sound features and regression.

Roneel V Sharan1, Udantha R Abeyratne, Vinayak R Swarnkar

  • 1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.

Physiological Measurement
|August 10, 2018
PubMed
Summary
This summary is machine-generated.

Cough sound analysis can predict lung function measurements like FEV1 and FVC, offering a potential alternative to traditional spirometry. This non-invasive method shows promise for diagnosing respiratory conditions such as asthma and COPD.

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Area of Science:

  • Pulmonary Medicine
  • Biomedical Engineering
  • Acoustic Signal Processing

Background:

  • Spirometry is a standard lung function test for diagnosing asthma and COPD.
  • Spirometry requires patient cooperation, skilled staff, and can be uncomfortable, limiting its use.
  • Alternative, non-invasive methods for assessing lung function are needed.

Purpose of the Study:

  • To investigate the feasibility of using cough sound analysis to predict spirometry measurements.
  • To explore the correlation between cough sound characteristics and key spirometry parameters (FEV1, FVC, FEV1/FVC).

Main Methods:

  • Collected voluntary cough sounds from 322 adults using an iPhone in a respiratory function laboratory.
  • Employed an automated algorithm for cough sound segmentation.
  • Developed linear and nonlinear regression models to predict spirometry parameters from cough sound descriptors, with optional inclusion of demographic data.

Main Results:

  • Regression models achieved a high correlation for predicting FEV1 (0.810) and FVC (0.749).
  • Moderate correlation was observed for predicting FEV1/FVC (0.547).
  • Achieved over 70% sensitivity, specificity, and accuracy for COPD diagnosis based on predicted spirometry results.

Conclusions:

  • Cough sound analysis demonstrates significant potential for predicting spirometry results, particularly FEV1 and FVC.
  • This approach offers a promising, non-invasive method for lung function assessment.
  • Further research may validate cough analysis as a complementary tool for diagnosing and monitoring respiratory diseases.