DocumentCode
276870
Title
Digital signal processing of lung sounds
Author
Jamieson, G. ; Cheetham, B.M.G. ; Moruzzi, J.L. ; Earis, J.E.
Author_Institution
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
fYear
1992
fDate
33617
Firstpage
42552
Lastpage
42555
Abstract
It is shown that wheezes can be objectively represented and efficiently compressed using parametric modelling. The ability to compress the lung sounds means that long term monitoring is made much easier and remote monitoring becomes feasible. Both of these aspects can also extend to the monitoring of several patients simultaneously
Keywords
acoustic signal processing; bioacoustics; data compression; lung; patient diagnosis; patient monitoring; autoregressive model; digital signal processing; lung sounds; parametric modelling; patient diagnosis; patient monitoring; remote monitoring; wheezes;
fLanguage
English
Publisher
iet
Conference_Titel
DSP (Digital Signal Processing) in Instrumentation, IEE Colloquium on (Digest No.009)
Conference_Location
London
Type
conf
Filename
167632
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