Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Optimal Thoracic Sound Data Extraction Using Principal Component Analysis

주성분 분석을 이용한 최적 흉부음 데이터 검출

  • 임선희 (전북대학교 전자정보공학부) ;
  • 박기영 (전주공업대학 정보통신과) ;
  • 최규훈 (전주공업대학 전자정보과) ;
  • 박강서 (전주예수병원 소아과) ;
  • 김종교 (전북대학교 전자정보공학부)
  • Published : 2003.07.01
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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.

Keywords