Multi-lead ECG signal analysis using RBFNN-MSO algorithm

Author:

Srinivasulu Menta

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference21 articles.

1. Ardjani, F., Sadouni, K., & Benyettou, M. (2010). Optimization of svm multiclass by particle swarm (pso-svm). In 2010 2nd International Workshop on Database Technology and Applications, pp. 1–4. IEEE

2. Blackwell, T., & Branke, J. (2006). Multiswarms, exclusion, and anti-convergence in dynamic environments. IEEE Transactions on Evolutionary Computation, 10(4), 459–472.

3. Chandrakar, B., Yadav, O., & Chandra, V. (2013). A survey of noise removal techniques for ecg signals. International Journal of Advanced Research in Computer and Communication Engineering, 2(3), 1354–1357.

4. Chinchkhede, K., Yadav, G. S., Hirekhan, S., & Solanke, D. (2011). On the implementation of fir filter with various windows for enhancement of ecg signal. International Journal of Engineering Science and Technology (IJEST), 3(3), 2031–2040.

5. Farrell, R. M., & Rowlandson, G. I. (2006). The effects of noise on computerized electrocardiogram measurements. Journal of Electrocardiology, 39(4), S165–S173.

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