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A neural networks approach to EEG signals modeling

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3 Author(s)
H. A. Al-Nashash ; Sch. of Eng., Sharjah American Univ., United Arab Emirates ; A. M. S. Zalzala ; N. V. Thakor

In this paper, a comparison of the application of neural networks and a first order Markov process amplitude model are reported for the modelling of electoencephalography (EEG) signals recorded from a controlled experimental setup of rodent brain injury with hypoxic-ischemic cardiac arrest. The NN model was found to be superior in modeling the nonlinearities of EEG signal variations.

Published in:

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE  (Volume:3 )

Date of Conference:

17-21 Sept. 2003