Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?

Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?

(1) Background: Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS), such as wheezes and crackles. ARS events have variable duration. In this work we studied the influence of event duration on automatic ARS classification, namely, how the creation of the <...

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Bibliographic Details
Main Authors: Bruno Machado Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
adventitious respiratory sounds
experimental design
machine learning
Online Access:https://www.mdpi.com/1424-8220/21/1/57

Internet

https://www.mdpi.com/1424-8220/21/1/57

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