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Volumn , Issue , 2011, Pages

Identification of optimal wavelet-based algorithm for removal of power line interferences in ECG signals

Author keywords

Denoising; Discrete wavelet transform; Electrocardiogram; Signal to noise ratio

Indexed keywords

DE-NOISING; DE-NOISING ALGORITHM; DECOMPOSITION LEVEL; DISCRETE WAVELETS; ECG SIGNALS; ELECTROCARDIOGRAM; OPTIMAL WAVELETS; POWERLINE INTERFERENCE; THRESHOLD SELECTION; WAVELET FUNCTION; AUTO-DIAGNOSIS;

EID: 79953143562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IICPE.2011.5728090     Document Type: Conference Paper
Times cited : (17)

References (16)
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    • S. Li and J. Lin, "The optimal de-noising algorithm for ECG using stationary wavelet transform", in World Congress on Computer Science and Information Engineering, Vol.6, pp. 469-463, Los Angeles, CA, September, 2009.
    • (2009) World Congress on Computer Science and Information Engineering , vol.6 , pp. 469-1463
    • Li, S.1    Lin, J.2
  • 6
    • 11044231199 scopus 로고    scopus 로고
    • Detection of the EEG Artifacts by the means of the (Extended) Kalman Filter
    • M. Rohál'ová, P. Sykacek, M. Koska and G. Dorffner, "Detection of the EEG Artifacts by the means of the (Extended) Kalman Filter", Measurement Science Review, Vol. 1, Number 1,pp. 59-62, 2000.
    • (2000) Measurement Science Review , vol.1 , Issue.1 , pp. 59-62
    • Rohál'ová, M.1    Sykacek, P.2    Koska, M.3    Dorffner, G.4
  • 7
    • 79953159164 scopus 로고    scopus 로고
    • http://www.mathworks.com/access/helpdesk/help/toolbox/wavelet
  • 9
    • 39449102807 scopus 로고    scopus 로고
    • ECG Signal Denoising by Wavelet Transform Thresholding
    • M. Alfaouri and K. Daqrouq, "ECG Signal Denoising By Wavelet Transform Thresholding", American Journal of Applied Sciences, Vol. 5 Issue: 3, pp 276-281,2008.
    • (2008) American Journal of Applied Sciences , vol.5 , Issue.3 , pp. 276-281
    • Alfaouri, M.1    Daqrouq, K.2
  • 10
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    • http://physionet.org/
  • 11
    • 79953159908 scopus 로고    scopus 로고
    • http://users.rowan.edu/~polikar/wavelets.
  • 14
    • 85008016574 scopus 로고    scopus 로고
    • The what, how, and why of wavelet shrinkage denoising
    • May/Jun
    • C. Taswell, "The what, how, and why of wavelet shrinkage denoising", computing in Science & Engineering, Vol. 2 Issue: 3, pp. 12-19, May/Jun 2000.
    • (2000) Computing in Science & Engineering , vol.2 , Issue.3 , pp. 12-19
    • Taswell, C.1
  • 15
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • May
    • D. L. Donoho, "De-noising by soft-thresholding", IEEE Trans. Information Theory, Vol. 41 Issue: 3, pp. 613-627, May 1995.
    • (1995) IEEE Trans. Information Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.