The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Suppressing Artefacts in the ECG by Independent Component Analysis

독립성분 분석기법에 의한 심전도 신호의 왜곡 보정

  • 김정환 (건국대학교 대학원 의학공학부) ;
  • 김경섭 (건국대학교 의학공학부) ;
  • 김현태 (건국대학교 대학원 의학공학부) ;
  • 이정환 (건국대학교 의학공학부)
  • Received : 2013.04.24
  • Accepted : 2013.05.10
  • Published : 2013.06.01
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Abstract

In this study, Independent Component Analysis (ICA) algorithms are suggested to extract the original ECG part from the mixed signal contaminated with the unwanted frequency components and especially 60Hz power line disturbances. With this aim, we implement a novel method to suppress the baseline-wandering disturbances and power line artefacts contained in patch-electrodes sensory ECG data by separating the unmixed signal with finding the optimal weight W based on Kurtosis value. With applying brutal force and gradient ascent searching algorithm to find W, we can conclude that the unwanted frequency components especially in the ambulatory ECG data can be eliminated by Independent Component Analysis.

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References

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