The application of wavelet and feature vectors to ECG signals-Reference-Cited by-同舟云学术

The application of wavelet and feature vectors to ECG signals

Published:2006-03 Issue:1 Volume:29 Page:13-17
ISSN:0158-9938
Container-title:Australasian Physics & Engineering Sciences in Medicine
language:en
Short-container-title:Australas. Phys. Eng. Sci. Med.

Author:

Matsuyama A.,Jonkman M.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics,General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/BF03178823.pdf

Reference15 articles.

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2. Prasad, G. K. and Sahambi, J. S.,Classification of ECG arrhythmias using multi-resolution analysis and neural networks, Proceedings of the Conference on Convergent Technologies for Asia-Pacific Region 2003, 221:227–231, 2003.

3. Castro, B., Kogan, D., and Geva, A. B.,ECG feature extraction using optimal mother wavelet, Proceedings of the 21st IEEE Convention of the Electrical and Electronic Engineers in Israel 2000, 346–350, 2000.

4. Senhadji, L., Bellanger, J. J., Carrault, G., and Coatrieux, J. L.,Wavelet Analysis of E.C.G. Signals, Proceedings of the Twelfth Annual International Conference of IEEE, 811–812, 1990.

5. Provaznik, I. and Kozumplik, J.,Wavelet Transform in Electrocardiography-Data Compression, International Journal of Medical Informatics, 45:111–128, 1997.

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