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A CNN based system to blind sources separation of MEG signals

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4 Author(s)
Bucolo, M. ; Dipt. Elettrico, Elettronico e Sistemistico, Universita degli Studi di Catania ; Fortuna, L. ; Frasca, M. ; La Rosa, M.

In this paper a cellular neural network (CNN) based system to perform a real-time, parallel processing of magetoencephalographic data is proposed. In particular, a nonlinear approach to blind sources separation, instead of the linear procedure performed by independent component analysis, is introduced. Moreover, the characteristic spatial distribution of the cells in the CNN system has been exploited to reproduce the topology of the acquisition channels over the scalp.

Published in:

Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on

Date of Conference:

22-24 Jul 2002