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

fYear

1990

fDate

1-3 May 1990

Firstpage

1086

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., IEEE International Symposium on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ISCAS.1990.112300

Filename

112300

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2633784