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Volumn 129, Issue 2, 2008, Pages 278-281

Artifacts and noise removal in electrocardiograms using independent component analysis

Author keywords

Electrocardiogram; Feature extraction; Independent Component Analysis; Kurtosis; Modeling; Reconstruction error; Variance of variance

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; ARTIFACT; COMPARATIVE STUDY; ELECTROCARDIOGRAM; IMAGE RECONSTRUCTION; INDEPENDENT COMPONENT ANALYSIS; NOISE REDUCTION; PRIORITY JOURNAL; WAVEFORM;

EID: 50349102288     PISSN: 01675273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijcard.2007.06.037     Document Type: Article
Times cited : (47)

References (18)
  • 1
    • 36749096445 scopus 로고    scopus 로고
    • Application of independent component analysis in removing artifacts from the electrocardiogram
    • Springer-Verlag, Limited, London
    • He T., Clifford G., and Lionel T. Application of independent component analysis in removing artifacts from the electrocardiogram. Neural computing and applications (2005), Springer-Verlag, Limited, London 1-19
    • (2005) Neural computing and applications , pp. 1-19
    • He, T.1    Clifford, G.2    Lionel, T.3
  • 7
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: algorithms and applications
    • Hyvarinen A., and Oja E. Independent component analysis: algorithms and applications. Neural Netw 13 (2000) 411-430
    • (2000) Neural Netw , vol.13 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 8
    • 0034108045 scopus 로고    scopus 로고
    • Fetal electrocardiogram extraction by blind source subspace separation
    • De Lathauwer L., De Moor B., and Vandevalle J. Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans Biomed Eng 47 5 (2000) 567-572
    • (2000) IEEE Trans Biomed Eng , vol.47 , Issue.5 , pp. 567-572
    • De Lathauwer, L.1    De Moor, B.2    Vandevalle, J.3
  • 13
    • 33749042876 scopus 로고    scopus 로고
    • Sensors array and electrode selection for non-invasive fetal electrocardiogram extraction by independent component analysis
    • Vrins F., Jutten C., and Verleysen M. Sensors array and electrode selection for non-invasive fetal electrocardiogram extraction by independent component analysis. proc. ICA-2004, LNCS vol. 3195 (2004) 1017-1024
    • (2004) proc. ICA-2004, LNCS , vol.3195 , pp. 1017-1024
    • Vrins, F.1    Jutten, C.2    Verleysen, M.3
  • 14
    • 84865792225 scopus 로고    scopus 로고
    • A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform
    • Springer-Verlag
    • Azzerboni B., Finocchio G., Ipsale M., La Foresta F., and Morabito F.C. A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform. Lecture notes in computer science vol. 2486 (September 2002), Springer-Verlag 109-116
    • (2002) Lecture notes in computer science , vol.2486 , pp. 109-116
    • Azzerboni, B.1    Finocchio, G.2    Ipsale, M.3    La Foresta, F.4    Morabito, F.C.5
  • 16
    • 18744404816 scopus 로고    scopus 로고
    • Independent component analysis for biomedical signals
    • James C.J., and Hesse C.W. Independent component analysis for biomedical signals. Physiol Meas 26 (2005) R15-R39
    • (2005) Physiol Meas , vol.26
    • James, C.J.1    Hesse, C.W.2
  • 17
    • 50349102663 scopus 로고    scopus 로고
    • Tikkanen P. Characterization and application of analysis methods for ECG and time interval variability data. Ph.D. Dissertation, University of Oulu; 1999.
    • Tikkanen P. Characterization and application of analysis methods for ECG and time interval variability data. Ph.D. Dissertation, University of Oulu; 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.