Hybrid ICA – regression: automatic identification and removal of ocular artifacts from electroencephalographic signals

Electroencephalography (EEG) is a portable brain-imaging technique with the advantage of high-temporal resolution that can be used to record electrical activity of the brain. However, it is difficult to analyze EEG signals due to the contamination of ocular artifacts, and which potentially results i...

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Hlavní autoři:	Malik Muhammad Naeem Mannan, Myung Yung Jeong, Muhammad Ahmad Kamran
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2016-05-01
Edice:	Frontiers in Human Neuroscience
Témata:	Electroencephalography Electrooculography Independent Component Analysis ocular artifacts kurtosis Regression Analysis
On-line přístup:	http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00193/full
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