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Volumn 43, Issue 8, 1996, Pages 820-828

A novel family of compression algorithms for ECG and other semiperiodical, one-dimensional, biomedical signals

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTROCARDIOGRAPHY; REDUNDANCY; SIGNAL DISTORTION; SIGNAL ENCODING;

EID: 0030220725     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.508544     Document Type: Article
Times cited : (24)

References (18)
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    • C. Zywietz, G. Joseph, R. Fischer, R. Degani, and J. L. Willems, "Compression and encoding of ECG data within the European standard communications protocol,'' in Proc. Comput. in Cardiol., 1992, pp. 105-108.
    • (1992) Proc. Comput. in Cardiol. , pp. 105-108
    • Zywietz, C.1    Joseph, G.2    Fischer, R.3    Degani, R.4    Willems, J.L.5
  • 5
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    • Compression of the ambulatory ECG by average beat subtraction and residual differencing
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    • P. S. Hamilton and W. J. Tompkins. "Compression of the ambulatory ECG by average beat subtraction and residual differencing," IEEE Trans. Biomed. Eng., vol. 38, no. 3, pp. 253-259, Mar. 1991.
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    • Hamilton, P.S.1    Tompkins, W.J.2
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    • Algorithm for data reduction and automatic analysis of intestinal motility tracings and other smooth biological signals
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    • G. Tijskens, J. Janssens, G. Vantrappen, F. de Bondt, and J. Vandewalle, "Algorithm for data reduction and automatic analysis of intestinal motility tracings and other smooth biological signals," Med., Biol. Eng., Computing, vol. 27, pp. 47-56, Jan. 1989.
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    • Tijskens, G.1    Janssens, J.2    Vantrappen, G.3    De Bondt, F.4    Vandewalle, J.5
  • 9
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    • ECG data compression with vector quantization using k-dimensional tree for fast search
    • E. Bertonha, C. I. Zanchin, and A. Klautau, "ECG data compression with vector quantization using k-dimensional tree for fast search," in Proc. Comput. in Cardiol., 1993, pp. 515-518.
    • (1993) Proc. Comput. in Cardiol. , pp. 515-518
    • Bertonha, E.1    Zanchin, C.I.2    Klautau, A.3
  • 10
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    • Using iterated function systems to model discrete sequences
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    • D. S. Mazel and M. H. Hayes, "Using iterated function systems to model discrete sequences," IEEE Trans. Signal Processing, vol. 40, no. 7, pp. 1724-1734, July 1992.
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    • A novel cycle-pool based compression method for one-dimensional semiperiodical biomedical signals
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.