DocumentCode :
1859603
Title :
Spectrum analysis of lung sounds
Author :
Xu, Jinwing ; Chen, Qimin ; Zhang, Yilli ; Liu, Shuyan
Author_Institution :
Appl. Acoust. Inst., Shaanxi Teachers Univ., China
fYear :
1989
fDate :
9-12 Nov 1989
Firstpage :
1676
Abstract :
The power spectra of vesicular breathing, rale and wheeze from 40 people (including normal people and people with lung diseases) were analysed by BSFA (zoom fast Fourier transform). The distribution of spectrum peak frequencies was estimated. It is noted that the vesicular breathing of normal people and abnormal breathing (rale and wheeze) are significantly different in their distribution of spectrum peak frequencies. The power spectrum of rale and wheeze contain more high-frequency components, and that of rale has more low-frequency components. This difference could provide a basis for automatic classification and diagnosis
Keywords :
bioacoustics; lung; patient diagnosis; spectral analysis; abnormal breathing; automatic classification; automatic diagnosis; high-frequency components; low-frequency components; lung diseases; lung sounds spectrum analysis; normal people; peak frequencies distribution; power spectra; rale; vesicular breathing; wheeze; zoom fast Fourier transform; Aging; Diseases; Filters; Frequency; Lungs; Robustness; Signal analysis; Signal processing; Signal resolution; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/IEMBS.1989.96401
Filename :
96401
Link To Document :
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