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Adaptive estimation of evoked potentials using wavelets and radial basis functions neural networks

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2 Author(s)
Jemili, K. ; Dept. of Electr. Eng., Dayton Univ., OH, USA ; Westerkamp, John J.

A new signal estimation technique is proposed that uses the wavelet transform to determine the time-frequency information content of human evoked brain potentials. By adaptively weighting the individual time-frequency bins using a neural network, a time-varying estimate of the evoked potential can be obtained. The weighting procedure enhances the time-frequency bins corresponding to the EP while attenuating those corresponding to the EEG

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Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

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