The possibility of using the multilayer perceptron (MLP) neural network for the processing of EEG evoked potentials (EPs) is examined. A structure composed of the cascade of a MLP and a linear combiner is proposed. Experimental results, both on synthetic and real data, show that the method provides good results with very few EP ensembles and without the necessity of prior knowledge of the signal characteristics.
An Adaptive Neural Network Filter for Evoked Potentials
MARCHESI, MICHELE;
1990-01-01
Abstract
The possibility of using the multilayer perceptron (MLP) neural network for the processing of EEG evoked potentials (EPs) is examined. A structure composed of the cascade of a MLP and a linear combiner is proposed. Experimental results, both on synthetic and real data, show that the method provides good results with very few EP ensembles and without the necessity of prior knowledge of the signal characteristics.
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