Presentation 2014-05-22
Signal Processing for Lung-Sound Recognition : Separation and Classification of Continuous and Discontinuous Adventitious Sounds
Tomoya SAKAI, Takahiro UCHIDA, Aeri SAKAGUCHI, Senya KIYASU, Sueharu MIYAHARA, Mikio OKA,
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Abstract(in English) This paper presents signal separation techniques for pattern recognition of lung sounds. From a viewpoint of pattern recognition, pulmonary auscultation is essentially a multi-label classification problem where all lung-sound components are to be predicted for an auscultatory sound. An auscultatory sound acquired from a patient with pulmonary disorder may be composed of multiple types of adventitious (abnormal) sounds as well as breath. The present approach decomposes the auscultatory sound into components without explicitly modeling them. Robust principal component analysis is applied to the sound spectrogram to yield sound components with low-rank and sparse spectrograms. It is experimentally shown that continuous adventitious sound component is obtained from the sparse spectrogram. Coarse and fine crackles can be extracted and classified by sparse representation of the sound component from the low-rank spectrogram.
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Keyword(in English) Respiratory system diagnosis / Electronic auscultation / Signal separation
Paper # SIP2014-11,IE2014-11,PRMU2014-11,MI2014-11
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Committee MI
Conference Date 2014/5/15(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Signal Processing for Lung-Sound Recognition : Separation and Classification of Continuous and Discontinuous Adventitious Sounds
Sub Title (in English)
Keyword(1) Respiratory system diagnosis
Keyword(2) Electronic auscultation
Keyword(3) Signal separation
1st Author's Name Tomoya SAKAI
1st Author's Affiliation Nagasaki Universiy()
2nd Author's Name Takahiro UCHIDA
2nd Author's Affiliation Nagasaki Universiy
3rd Author's Name Aeri SAKAGUCHI
3rd Author's Affiliation Nagasaki Universiy
4th Author's Name Senya KIYASU
4th Author's Affiliation Nagasaki Universiy
5th Author's Name Sueharu MIYAHARA
5th Author's Affiliation / Kawasaki Medical School
6th Author's Name Mikio OKA
6th Author's Affiliation
Date 2014-05-22
Paper # SIP2014-11,IE2014-11,PRMU2014-11,MI2014-11
Volume (vol) vol.114
Number (no) 42
Page pp.pp.-
#Pages 6
Date of Issue