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Title: Influence of event duration on automatic wheeze classification
Author: Rocha, Bruno M.
Pessoa, Diogo
Marques, Alda
Carvalho, Paulo
Paiva, Rui Pedro
Keywords: Performance evaluation
Audio and acoustic processing and analysis
Issue Date: 4-Nov-2020
Abstract: Patients with respiratory conditions typically exhibit adventitious respiratory sounds, such as wheezes. Wheeze events have variable duration. In this work we studied the influence of event duration on wheeze classification, namely how the creation of the non-wheeze class affected the classifiers' performance. First, we evaluated several classifiers on an open access respiratory sound database, with the best one reaching sensitivity and specificity values of 98% and 95%, respectively. Then, by changing one parameter in the design of the non-wheeze class, i.e., event duration, the best classifier only reached sensitivity and specificity values of 55% and 76%, respectively. These results demonstrate the importance of experimental design on the assessment of wheeze classification algorithms' performance.
Peer review: yes
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Appears in Collections:IBIMED - Artigos
ESSUA - Artigos
Lab3R - Artigos

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