Effective Approach for Detecting the Single Trial ERP Using Rational Gaussian Neural Network

摘要

A novel approach is proposed to deal with the problem of detecting the single trial ERP using a modified RBF neural network, rational Gaussian network. The Gaussian RBF is normalized to obtain optimal behavior of noise suppression even at low SNR. The performance of the proposed scheme is also evaluated with both MSE and the tracking ability. Several experimental results with real ERP signals provide the convergent evidence to show that the presented method can significantly enhance the SNR and successfully track the variation of the signal such as the specified ERP in the applications of biomedical signal processing.