DocumentCode :
1631197
Title :
Single channel eye-blinking artifacts detection
Author :
Vareka, Lukas ; Bruha, Petr ; Moucek, Roman
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Pilsen, Czech Republic
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
For neurophysiological data sharing, it is vital for researchers to validate their data from different perspectives. Detection of eye artifacts is especially important since the artifacts may distort the data to an unacceptable extent. Most methods for their correction either require EOG channels or they are very time consuming. This paper proposes a fast method that does not require EOG channels. It outperforms amplitude-based methods in accuracy and Independent Component Analysis in computational complexity.
Keywords :
biomechanics; computational complexity; electroencephalography; eye; independent component analysis; medical signal detection; medical signal processing; neurophysiology; EOG channel; amplitude-based method; computational complexity; independent component analysis; neurophysiological data sharing; single channel eye-blinking artifact detection; Correlation; Electrodes; Electroencephalography; Electrooculography; Light emitting diodes; Portals; Visualization; artifacts; correlation; electroencephalography; neuroinformatics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Electronics (AE), 2013 International Conference on
Conference_Location :
Pilsen
ISSN :
1803-7232
Print_ISBN :
978-80-261-0166-6
Type :
conf
Filename :
6636539
Link To Document :
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