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Volumn , Issue , 2009, Pages

A noise elimination method for ECG signals

Author keywords

ECG; Empirical mode decomposition; Independent component analysis; Two layer reconstruction

Indexed keywords

CORRELATION COEFFICIENT; ECG; ECG SIGNALS; EMPIRICAL MODE DECOMPOSITION; MIT-BIH DATABASE; NOISE ELIMINATION; TWO LAYERS; WAVELET BASE;

EID: 72749099494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2009.5162206     Document Type: Conference Paper
Times cited : (8)

References (13)
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  • 2
    • 0026203883 scopus 로고
    • Application of adaptive filtering to ECG analysis noise cancellation and arrhythmia detection
    • Thakor NV,Zhu YS. Application of adaptive filtering to ECG analysis noise cancellation and arrhythmia detection. IEEE Trans.Biomed.Eng., 1991, 38(7):785-793
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    • Thakor, N.V.1    Zhu, Y.S.2
  • 3
    • 72749092694 scopus 로고    scopus 로고
    • A study of using wavelet transform in the filtering method for ECG signal
    • Feng Y, Yinglin Y. A study of using wavelet transform in the filtering method for ECG signal. Journal or Biomed Eng .1997, 29(3):333-340
    • (1997) Journal or Biomed Eng , vol.29 , Issue.3 , pp. 333-340
    • Feng, Y.1    Yinglin, Y.2
  • 5
    • 0032213588 scopus 로고    scopus 로고
    • Removing artifacts from electrocardiographic signals using independent component analysis
    • Barros AK et al, Removing artifacts from electrocardiographic signals using independent component analysis. Neurocomputing 1998 , 22:173-186
    • (1998) Neurocomputing , vol.22 , pp. 173-186
    • Barros, A.K.1
  • 6
    • 31944436424 scopus 로고    scopus 로고
    • Application of independent component analysis in removing artifacts from the electrocardiogram
    • H.Taigang et al, Application of independent component analysis in removing artifacts from the electrocardiogram, Neural Comput & Applic 2006, 15: 105-116
    • (2006) Neural Comput & Applic , vol.15 , pp. 105-116
    • Taigang, H.1
  • 8
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis
    • Huang N E, Shen Z, Long S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis. Proc R Soc Lond A, 1998, 454 (1): 903-995.
    • (1998) Proc R Soc Lond A , vol.454 , Issue.1 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3
  • 9
    • 35348812280 scopus 로고    scopus 로고
    • The Hilbert-Huang Transform and Its Application on Signal De-noising
    • Chun W, Donglin P. The Hilbert-Huang Transform and Its Application on Signal De-noising, Chinese Journal of Scientific Instrument 2004, 24(4):42-45
    • (2004) Chinese Journal of Scientific Instrument , vol.24 , Issue.4 , pp. 42-45
    • Chun, W.1    Donglin, P.2
  • 10
    • 22344442496 scopus 로고    scopus 로고
    • Denoising of partial discharge based on Empirical Mode Decomposition
    • Yong Q et al. Denoising of partial discharge based on Empirical Mode Decomposition, Automation of Electric Power Systems, 2005, 29(12):53-56
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    • Yong, Q.1
  • 13
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    • Fast and Robust Fixed-Point Algorithms for Independent Component Analysis
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    • Hyvärinen, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.