International Journal of Soft Computing

Year: 2013
Volume: 8
Issue: 3
Page No. 192 - 198

Suppression of Electromagnetic Interference in ECG Signal Using Artificial Intelligent Algorithm

Authors : J. Mahil and T. Sree Renga Raja

References

Bearer, C.F., 1994. Electromagnetic fields and infant incubators. Arch. Environ. Health, 49: 352-354.
PubMed  |  

Beligiannis, G.N., L.V. Skarlas, S.D. Likothanassis and K. Perdikouri, 2005. Nonlinear model structure identification of complex biomedical data using a genetic programming based technique. IEEE Trans. Instrum. Meas., 54: 2184-2190.
CrossRef  |  

Carvalho, W.B., M.L.G. Pedreira and M.A.L.deAguiar, 2005. Noise level in pediatric intensive care unit. J. Pediatr., 81: 485-498.
PubMed  |  

Chang, C.Y. and D.R. Chen, 2010. Active noise cancellation without secondary path identification by using an adaptive Genetic algorithm. IEEE Trans. Instrum. Meas., 59: 2315-2327.

Committee on Environment Health, 1997. Noise: A hazard for the fetus and newborn. Pediatrics, 100: 724-727.
CrossRef  |  

Das, D.P. and G. Panda, 2004. Active mitigation of nonlinear noise processes using a novel filtered-s LMS algorithm. IEEE Trans. Speech Audio Process., 12: 313-322.
CrossRef  |  

Das, D.P., S.R. Mahopatra, A. Routray and T.K. Basu, 2006. Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes. IEEE Trans. Speech Lang. Process., 14: 1875-1880.
CrossRef  |  

Kennedy, J. and R. Eberhart, 1995. Particle swarm optimization. Proc. IEEE Int. Conf. Neural Networks, 4: 1942-1948.
CrossRef  |  Direct Link  |  

Krukowicz, T., 2010. Active noise control algorithm based on a neural network and input-output system identification model. J. Arch. Acoust., 35: 191-202.
CrossRef  |  

Liu, L., S. Gujjula, P. Thanigai and S.M. Kuo, 2008. Still in womb: Intrauterine acoustic embedded active noise control for infant incubators. Adv. Acoust. Vibrat. 10.1155/2008/495317

Modares, H., A. Ahmadyfard and M. Hadadzarif, 2006. A PSO approach for non-linear active noise cancellation. Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization, September 22-24, 2006, Lisbon, Portugal, pp: 492-497.

Ngia, L.S.H. and J. Sjoberg, 2000. Efficient training of neural nets for nonlinear adaptive filtering using a recursive levenberg-marquardt algorithm. IEEE. Trans. Signal Process., 48: 1915-1927.
CrossRef  |  

Plett, G.L., 2003. Adaptive inverse control of linear and nonlinear systems using dynamic neural networks. IEEE Trans. Neural Network, 14: 360-376.
CrossRef  |  

Quest Technology, 2002. Noise in neonatal intensive care units. User Application News Note 3. American Academy of Pediatrics. http://www.raeco.com/products/noise/Quest_NoisePro/ANN3_NICU.pdf.

Rout, N.K., D.P. Das and G. Panda, 2010. Performance evaluation of particle swarm optimization based active noise control algorithm. Lecture Notes Comput. Sci., 6466: 531-536.
Direct Link  |  

Rout, N.K., D.P. Das and G.R. Panda, 2012. Particle swarm optimization based active noise control algorithm without secondary path identification. IEEE Trans. Instrum. Meas., 61: 554-563.
CrossRef  |  

Russo, F. and G.L. Sicuranza, 2006. Genetic optimization in nonlinear systems for active noise control: Accuracy and performance evaluation. Proceedings of the IEEE Conference on Instrumentation and Measurement Technology, April 24-27, 2006, Sorrento, pp: 1512-1517.

Russo, F. and G.L. Sicuranza, 2007. Accuracy and performance evaluation in the genetic optimization of nonlinear systems for active noise control. IEEE Trans. Instrum. Meas., 56: 1443-1450.
CrossRef  |  

Salmasi, M., H. Mahdavi and H. Pourghassem, 2011. Evaluating the performance of MLP neural network and GRNN in active cancellation of sound noise. Canad. J. Artificial Intel. Machine Learn. Pattern Recogn., 2: 28-33.

Tang, K.S., K.F. Man, S. Kwong and Q. He, 1996. Genetic algorithms and their applications. IEEE Signal Process. Magazine, 13: 22-37.
Direct Link  |  

Thanigai, P., S.M. Kuo and R. Yenduri, 2007. Nonlinear active noise control for infant incubators in neo-natal intensive care units. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 1, April 2007, IEEE Computer Society, USA., pp: 109-112.

Xia, L., G. Hui and L. Jinfeng, 2008. Adaptive noise canceller based on PSO algorithm. Proceedings of the IEEE International Conference on Automation and Logistics, September 1-3, 2008, Qingdao, pp: 1759-1762.

Yim, K.H., J.B. Kim, T.P. Lee and D.S. Ahn, 1999. Genetic adaptivr IIR filtering algorithm for active noise control. Proceedings of the IEEE International Conference on Fuzzy Systems, August 22-25, 1999, Seoul, South Korea, pp: 1723-1728.

Zhang, X.P., 2001. Thresholding neural network for adaptive noise reduction. IEEE Trans. Neural Networks, 12: 567-584.
Direct Link  |  

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