Assessment and characterization of the impact of pulmonary pathology on flow-induced acoustics using computational fluid dynamics

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Makhanya_Assessment_2026.pdf (2.57 MB)

Date

2026-07

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Elsevier

Abstract

Please read abstract in the article. HIGHLIGHTS • Novel CFD approach to analysis of cough acoustics for pulmonary disease assessment • Studied Healthy lungs, pneumonia, bronchiectasis and cavitary tuberculosis • Method validated against 22 patient recordings with distinct clinical diagnoses • Model correlations with recordings advance understanding of respiratory acoustics • Potential to generate synthetic data to train AI model for telemedicine diagnoses

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DATA AVAILABILITY : The data that has been used is confidential.

Keywords

Computational fluid dynamics (CFD), Exhalation, Fluid-flow, Pulmonary disease, Sound pressure level, Vocalization, Aero-acoustics

Sustainable Development Goals

SDG-09: Industry, innovation and infrastructure
SDG-03: Good health and well-being

Citation

Makhanya, K.M., Bhamjee, M., Martinson, N. & Connell, S. 2026, 'Assessment and characterization of the impact of pulmonary pathology on flow-induced acoustics using computational fluid dynamics', Biomedical Signal Processing and Control, vol. 120, art. 110018, pp. 1-14, doi : 10.1016/j.bspc.2026.110018.

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http://hdl.handle.net/2263/109619

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Research Articles (Mechanical and Aeronautical Engineering)
Research Articles (University of Pretoria)
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