Multi-Time-Scale Features for Accurate Respiratory Sound Classification

Multi-Time-Scale Features for Accurate Respiratory Sound Classification

The COVID-19 pandemic has amplified the urgency of the developments in computer-assisted medicine and, in particular, the need for automated tools supporting the clinical diagnosis and assessment of respiratory symptoms. This need was already clear to the scientific community, which launched an inte...

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Bibliographic Details
Main Authors: Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Ester Pantaleo, Sabina Tangaro, Roberto Bellotti
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
respiratory sound classification
machine learning
feature engineering
multi-time-scale analysis
Random Forest
deep learning
Online Access:https://www.mdpi.com/2076-3417/10/23/8606

Internet

https://www.mdpi.com/2076-3417/10/23/8606

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