Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/22160
Title: Integrated approach for automatic crackle detection based on fractal dimension and box filtering
Author: Pinho, Cátia
Oliveira, Ana
Jácome, Cristina
Rodrigues, João
Marques, Alda
Keywords: Adventitious respiratory sounds
Crackles
Discontinuous respiratory sounds
Automatic detection
Classification algorithms
Fractal dimension
Box filtering
Multi-annotator gold standard agreement
Issue Date: 10-Oct-2016
Publisher: IGI-Global
Abstract: Crackles are adventitious respiratory sounds (RS) that provide valuable information on different respiratory conditions. Nevertheless, crackles automatic detection in RS is challenging, mainly when collected in clinical settings. This study aimed to develop an algorithm for automatic crackle detection/characterisation and to evaluate its performance and accuracy against a multi-annotator gold standard. The algorithm is based on 4 main procedures: i) recognition of a potential crackle; ii) verification of its validity; iii) characterisation of crackles parameters; and iv) optimisation of the algorithm parameters. Twenty-four RS files acquired in clinical settings were selected from 10 patients with pneumonia and cystic fibrosis. The algorithm performance was assessed by comparing its results with a multi-annotator gold standard agreement. High level of overall performance (F-score=92%) was achieved. The results highlight the potential of the algorithm for automatic crackle detection and characterisation of RS acquired in clinical settings.
Peer review: yes
URI: http://hdl.handle.net/10773/22160
DOI: 10.4018/IJRQEH.2016100103
ISSN: 2160-9551
Appears in Collections:IBIMED - Artigos
IEETA - Artigos
ESSUA - Artigos
IT - Artigos
Lab3R - Artigos

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