DocumentCode :
2682282
Title :
The Research of Lung Sound Signals Based on Cepstrum Analysis
Author :
Wang, Benjin ; Miao, Lei ; Dong, Huiying ; Zheng, Zeguang
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
fYear :
2012
fDate :
28-30 May 2012
Firstpage :
934
Lastpage :
938
Abstract :
In this paper, we proposed a new method of signal processing techniques for the application of analyzing four typical lung-sound signals (tracheal breath sounds, vesicular breath sounds, inspiratory and expiratory stridor, and stridor). First, we focus on the estimation method of the sound source number in a lung disease. Second, we calculate the time interval of each sound source signal accurately. Finally, we put the delay time and the number of sound sources as the characteristics, and study the relationships between each pathological lung sound and the characteristics. The innovation of this paper is that utilizing the cepstrum analysis as a new idea to study the pathological diagnosis of lung diseases.
Keywords :
cepstral analysis; lung; medical signal processing; cepstrum analysis; delay time; expiratory stridor; inspiratory stridor; lung disease; lung sound signals; pathological lung sound; signal processing techniques; sound source number; time interval; tracheal breath sounds; vesicular breath sounds; Cepstrum; Delay; Delay effects; Diseases; Lungs; Time domain analysis; Transforms; cepstrum analysis; digital signal processing; lung sounds; spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
Conference_Location :
Macau, Macao
Print_ISBN :
978-1-4577-1987-5
Type :
conf
DOI :
10.1109/iCBEB.2012.439
Filename :
6245275
Link To Document :
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