Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals

Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals

<b>Background and objective:</b> Chronic respiratory diseases, such as asthma and COPD, pose significant challenges to human health and global healthcare systems. This pioneering study utilises AI analysis and modelling of cough and respiratory sound signals to classify and differentiate...

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Bibliographic Details
Main Authors: Shuting Xu, Ravinesh C. Deo, Oliver Faust, Prabal D. Barua, Jeffrey Soar, Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
asthma detection
random forest classifier
respiratory sound
spectrogram
majority voting
Online Access:https://www.mdpi.com/2075-4418/15/9/1155
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