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 / Uncini, Aurelio; Marchesi, M; Orlandi, Gianni; Piazza, F.. - 2:(1999), pp. 1086-1089. (Intervento presentato al convegno Circuits and Systems, 1990., IEEE International Symposium on tenutosi a New Orleans, USA nel 1-3 May 1990) [10.1109/ISCAS.1990.112300].
An adaptive neural network filter for evoked potentials
UNCINI, Aurelio;ORLANDI, Gianni;
1999
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 characteristicsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
