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
Link To Document :
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