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Volumn , Issue , 2007, Pages 3196-3199

Electrocardiogram QRS detection using multiscale filtering based on mathematical morphology

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MORPHOLOGY; SIGNAL ANALYSIS;

EID: 57649217004     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353009     Document Type: Conference Paper
Times cited : (31)

References (16)
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    • An approach to QRS complex detection using mathematical morphology
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    • C-H. N. Chu and E. J. Delp, "Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators," IEEE Trans. Biomed. Eng., vol. 36, pp. 262-273, Feb.1989
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    • Chu, C.-H.N.1    Delp, E.J.2
  • 7
    • 0029232317 scopus 로고
    • Impulsive noise suppression using morphological operators
    • Feb
    • W. Hu, W. Yu, and A. Luo, "Impulsive noise suppression using morphological operators," in Proc. of the IEEE Conf. Aerospace and Electron., vol. 1, pp.336-339, Feb. 1995
    • (1995) Proc. of the IEEE Conf. Aerospace and Electron , vol.1 , pp. 336-339
    • Hu, W.1    Yu, W.2    Luo, A.3
  • 9
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    • Available
    • Available:http://www.physionet.org/physiobank/database/mitdb/
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    • Towards a generalized scheme for QRS detection in ECG waveforms
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    • F. Gritzali, "Towards a generalized scheme for QRS detection in ECG waveforms," Signal Processing, vol. 15, pp.183-192, Sep. 1988.
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    • Gritzali, F.1
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    • Nov
    • R. Poli, S. Cagnoni, and G. Valli, " Genetic Design of optimum linear and nolinear QRS Detectors," IEEE Trans. Biomed. Eng., vol. 42, pp. 1137-1141, Nov.1995
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    • Poli, R.1    Cagnoni, S.2    Valli, G.3
  • 13
    • 0021892137 scopus 로고
    • A real time QRS detection algorithm
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    • J.Pan, and W.J. Tompkins, " A real time QRS detection algorithm," IEEE Trans. Biomed. Eng., vol. 32, pp. 230-236, Mar.1985
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    • Pan, J.1    Tompkins, W.J.2
  • 16
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    • Detection of ECG characteristic points using wavelet transforms
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.