Wigner-Ville analysis and classification of electrocardiograms during thrombolysis-Reference-Cited by-同舟云学术

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Wigner-Ville analysis and classification of electrocardiograms during thrombolysis

Published:2003-11 Issue:6 Volume:41 Page:609-617
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med. Biol. Eng. Comput.

Author:

Chouvarda I.,Maglaveras N.,Boufidou A.,Mohlas S.,Louridas G.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF02349967.pdf

Reference15 articles.

1. Boabash, B. (1987): An efficient real-time implementation of the Wigner-Ville distribution,IEEE Trans. Acoust. Speech Signal Process.,35, pp. 1611–1618

2. Boufidou, A., Maglaveras, N., Chouvarda, I., Mohlas, S., Kontopoulos, A., andLouridas, G. (1999): ‘Morlet wavelet analysis of Holter recordings in acute anterior myocardial infarction patients may be used for early prediction of patent infarct related artery after thrombolysis’,Eur. Heart J.,20, pp. 338–339

3. Choi, H., andWilliams, W. J. (1989): ‘Improved time-frequency representation of multicomponent signals using exponential kernels’,IEEE Trans. Acoust. Speech Signal Process.,37, pp. 862–871

4. Chouvarda, I., Maglaveras, N., andPappas, C. (2001): ‘Adaptive time-frequency ECG analysis’,Comput. Cardiol., pp. 265–268

5. Clayton, R. H., andMurray, A. (1998): ‘Comparison of techniques for time-frequency analysis of the ECG during human ventricular fibrillation’,IEE Proc. Sci. Meas. Technol.,145, pp. 301–306

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