Paper Info
Title
Influence Of Event Duration On Automatic Wheeze Classification
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.
Year
DOI
Venue
2020
10.1109/ICPR48806.2021.9412226
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
Keywords
DocType
ISSN
Performance evaluation, Classification, Audio and acoustic processing and analysis
Conference
1051-4651
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Bruno Rocha131.84
Diogo Pessoa211.79
Alda Marques3285.31
Paulo Carvalho425047.68
Rui Pedro Paiva510717.38