Title :
An adaptive neural network filter for evoked potentials
Author :
Uncini, A. ; Marchesi, M. ; Orlandi, G. ; Piazza, F.
Author_Institution :
Dipartimento di Eletronica e Autom., Ancona Univ., Italy
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
Keywords :
adaptive filters; bioelectric potentials; computerised signal processing; electroencephalography; filters; neural nets; EEG evoked potentials; MLP; adaptive neural network filter; linear combiner; multilayer perceptron; real data; synthetic signals; Adaptive filters; Adaptive systems; Biological neural networks; Electroencephalography; Multi-layer neural network; Multilayer perceptrons; Neural networks; Signal processing; Signal to noise ratio; Wiener filter;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112300
