Presentation 2012-02-09
Sputum detection in real environment using sparse representation
Tatsuya YAMASHITA, Satoshi TAMURA, Kenji HAYASHI, Yutaka NISHIMOTO, Satoru HAYAMIZU,
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Abstract(in English) It is difficult for a patient who is on ventilator to cough up sputum from one's respiratory tract by oneself. A medical staff therefore needs to monitor the patient and sometimes perform auscultation of lung sounds, in order to decide whether the staff should perform tracheal suction to remove the sputum or not. Such the medical practice requires a lot of efforts by the staff. The aim of this work is to develop a system which notifies appropriate timing for the tracheal suction for the medical staff by analyzing lung sounds of the patients. We investigate a method to detect adventitious sounds using a sparse representation technique, and test the method in real environments
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Keyword(in English) Lung sounds / Adventitious sounds / Sputum / Real environment / Sparse representation / Flow
Paper # PRMU2011-217,SP2011-132
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Committee SP
Conference Date 2012/2/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sputum detection in real environment using sparse representation
Sub Title (in English)
Keyword(1) Lung sounds
Keyword(2) Adventitious sounds
Keyword(3) Sputum
Keyword(4) Real environment
Keyword(5) Sparse representation
Keyword(6) Flow
1st Author's Name Tatsuya YAMASHITA
1st Author's Affiliation Faculty of Engineering Gifu University()
2nd Author's Name Satoshi TAMURA
2nd Author's Affiliation Faculty of Engineering Gifu University
3rd Author's Name Kenji HAYASHI
3rd Author's Affiliation Graduate School of Medical Gifu University
4th Author's Name Yutaka NISHIMOTO
4th Author's Affiliation Graduate School of Medical Gifu University
5th Author's Name Satoru HAYAMIZU
5th Author's Affiliation Faculty of Engineering Gifu University
Date 2012-02-09
Paper # PRMU2011-217,SP2011-132
Volume (vol) vol.111
Number (no) 431
Page pp.pp.-
#Pages 4
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