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