A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique
Date Issued
2006
Date
2006
Author(s)
Huang, Ming-Chuan
DOI
zh-TW
Abstract
In hospital, physician examine emphasizes with percussion and auscultations; and auscultation is the most common way for physical exam. Recently, in order to develop Tele-medicine and Home care system and to assist physician can have more correct diagnose by auscultation; electric stethoscope and computer analysis have become an inevitable trend. However, two physical signals which include with Heart sound and lung sound are both appear from chest and also have some overlapped spectrum diagram. So, in order avoid to users misplace or untrained of stethoscope using and makes these two sounds will effect each other during with computer analysis; to separate heart sound and lung sound become necessary and important. Independent component analysis (also called ICA) is an algorithm which developed from 1990; it can separate two sounds even above efficiency. In this paper, we use two microphones to collect signals from left and right chest. And we have successfully divide heart and lung sounds by Fast ICA algorithm. And it can assist physician examine and also using on Tele-medicine and Home care by this way.
Subjects
獨立成分分析(ICA)
心音
肺音
Independent Component Analysis
Auscultation
Heart sound
Lung sound
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-95-P93921010-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):2697b4f27ecdc3f347ee238cab0bc502