Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2003.07e
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- Pages.2156-2159
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- 2003
Optimal Thoracic Sound Data Extraction Using Principal Component Analysis
주성분 분석을 이용한 최적 흉부음 데이터 검출
Abstract
Thoracic sound has been widely known as a good method to examine thoracic disease. But, it's difficult to diagnose with correct data according to patient's thoracic position from same patient who has thoracic disease. Therefore, it is necessary to normalize the data for lung sound objectively In this paper, we'd like to detect a useful data for medical examination by applying PCA(Principal Component Analysis) to thoracic sound data and then present a objective data about lung and heart sound for thoracic disease.
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