DocumentCode :
147062
Title :
Analysis of lung diseases and detecting deformities in human lung by classifying lung sounds
Author :
Mankar, Jayant V. ; Malviya, Praveen Kumar
Author_Institution :
Acropolis Inst. of Res. & Technol., Bhopal, India
fYear :
2014
fDate :
3-5 April 2014
Firstpage :
1059
Lastpage :
1063
Abstract :
To analyze lung sound by auscultation method requires substantial clinical experience, a fine stethoscope and good listening skills. The lung itself cannot generate sound if there is no airflow; pressure differences between structures within the thorax. The type of lung sound can be known by listening to the lung sound. The timing, repeatability and shape of crackles are important parameter for diagnosis. In this paper, we aim to detect and classify crackle to find deformities in lungs.
Keywords :
acoustic signal processing; bioacoustics; diseases; lung; medical signal processing; patient diagnosis; pneumodynamics; auscultation method; crackles shape; deformity detection; diagnosis; fine stethoscope; human lung disease analysis; listening skills; lung sound analysis; lung sound classification; pressure differences; thorax; Bronchoscopy; Hospitals; Investment; Laboratories; Lungs; Physiology; Time-frequency analysis; Coarse Crackle; Fine Crackle; Lung Sounds; Vesicular breath sound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
Type :
conf
DOI :
10.1109/ICCSP.2014.6950009
Filename :
6950009
Link To Document :
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