A CNN based system to blind sources separation of MEG signals
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications - Trang 195-201
Tóm tắt
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.
Từ khóa
#Cellular neural networks #Independent component analysis #Electroencephalography #Heart beat #SQUIDs #Real time systems #Magnetic separation #Scalp #Humans #HemodynamicsTài liệu tham khảo
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