Motor imagery recognition in electroencephalograms using convolutional neural networks

Motor imagery recognition in electroencephalograms using convolutional neural networks

Electroencephalography is a widespread method to record brain signals with the use of electrodes located on the surface of the head. This method of recording the brain activity has become popular because it is relatively cheap, compact, and does not require implanting the electrodes directly into th...

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Bibliographic Details
Main Authors:	A.D. Bragin, V.G. Spitsyn
Format:	Article
Language:	English
Published:	Samara National Research University 2020-06-01
Series:	Компьютерная оптика
Subjects:	image analysis pattern recognition neural networks electroencephalogram gramian angular field markov transition field motor imagery recognition convolutional neural networks
Online Access:	http://computeroptics.smr.ru/KO/PDF/KO44-3/440321.pdf

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