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A Novel Approach to Wheeze Detection (CROSBI ID 518610)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Alić, Ante ; Lacković, Igor ; Bilas, Vedran ; Seršić, Damir ; Magjarević, Ratko A Novel Approach to Wheeze Detection // IFMBE proceedings / Kim, Sun I. ; Suh, Tae Suk (ur.). 2007. str. 963-966

Podaci o odgovornosti

Alić, Ante ; Lacković, Igor ; Bilas, Vedran ; Seršić, Damir ; Magjarević, Ratko

engleski

A Novel Approach to Wheeze Detection

Wheezing often accompanies pulmonary pathologies and its detection is considered of great importance for the diagnosis and management of respiratory diseases. Our aim was to develop a simple and robust algorithm for wheeze detection in respiratory sound spectra to be used for long-term monitoring and early stage assessment of asthma episode in children. The robustness of the algorithm enables wheezing detection in presence of noise and moving artifacts. Children cannot perform respiratory function tests such as peak-flow measure-ment and therefore we find continuous recording and processing of respiratory sounds as an alternative. The algo-rithm we used for wheeze detection is based on the idea of frequency domain peak detection proposed by Shabtai-Musih et al. because of its simplicity and scoring used for specifying the likelihood that the peaks in power spectra represent wheezes. In our algorithm, we have modified the way of searching peaks in the spectrogram. Before searching for peaks, wavelet denoising was used in order to remove the noise in spectrum without affecting the peaks that we were searching for. Using the scoring algorithm we were able to create a bi-nary image of the spectrogram of the sounds - wheezes and score the length (duration) of connected components consid-ered as wheezing. The components that did not meet length criterion were rejected and were not considered as wheezing. The algorithm was tested on respiratory sound signals from public signal databases and on our own signals recorded in a group of 26 asthmatic children. The algorithm successfully detected wheezes in all signals containing wheezing.

wheeze detection; asthma; continuous monitoring

DOI 10.1007/978-3-540-36841-0 ; ISBN (Online) 978-3-540-36841-0

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Podaci o prilogu

963-966.

2007.

objavljeno

Podaci o matičnoj publikaciji

World Congress on Medical Physics and Biomedical Engineering 2006 : Imaging the Future Medicine ; Book Series IFMBE Proceedings ; Volume 14

Kim, Sun I. ; Suh, Tae Suk

Heidelberg: Springer

978-3-540-36839-7

1680-0737

Podaci o skupu

Nepoznat skup

predavanje

29.02.1904-29.02.2096

Povezanost rada

Elektrotehnika