한국컴퓨터산업교육학회:학술대회논문집

Korea Computer Institute Society (한국컴퓨터산업학회)
권호 표지

A Study on artifact extraction in magnetocardiography using multilayer neural network and principal component analysis

신경망과 주성분 분석을 이용한 심자도 신호에서 Artifact 추출

  • Lee D. H. (Department of Electrical Engineering, Kwangwoon University) ;
  • Kim T. Y. (Department of Electrical Engineering, Kwangwoon University) ;
  • Lee D. J. (Department of Electronic Engineering, Far East University)
  • Published : 2003.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

Principal component analysis(PCA) and neural network(NN) are used in reducing external noise in magnetocadiography. The PCA technique turns out to be very effective in reducing pulse noise in some SQUID channels and the NN find noise component automatically. Some experimental results obtained from 61 channel MCG system are shown.

Keywords