ICA-Based Imagined Conceptual Words Classification on EEG Signals

ICA-Based Imagined Conceptual Words Classification on EEG Signals

Independent component analysis (ICA) has been used for detecting and removing the eye artifacts conventionally. However, in this research, it was used not only for detecting the eye artifacts, but also for detecting the brain-produced signals of two conceptual danger and information category words....

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Bibliographic Details
Main Authors: Ehsan Imani, Ali Pourmohammad, Mahsa Bagheri, Vida Mobasheri
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Artificial neural network (ANN)
blind source separation (BSS)
brain–computer interfaces (BCIs)
electroencephalography signals (EEG signals)
independent component analysis (ICA)
linear discriminant analysis (LDA)
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=3;spage=130;epage=144;aulast=Imani

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=3;spage=130;epage=144;aulast=Imani

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