An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals
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Publisher
Springer London
Link
http://link.springer.com/content/pdf/10.1007/978-0-85729-868-3_6.pdf
Reference41 articles.
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3. Begg, R., Lai, D. T.H., Palaniswami, M.: Computational Intelligence in Biomedical Engineering. CRC Press, Inc., Boca Raton (2008)
4. Bereta, M., Burczyński, T.: Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals. Eng. Appl. Artif. Intell. 20(5), 571–585 (2007). doi: http://dx.doi.org/10.1016/j.engappai.2006.11.004
5. Bursa, M., Lhotska, L.: Automated classification tree evolution through hybrid metaheuristics. In: Corchado, E., Corchado, J., Abraham, A. (eds.) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol. 44, pp. 191–198. Springer, Berlin/Heidelberg (2007)
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