DocumentCode :
146397
Title :
Proposed blink artifacts rejection method mixing with electroencephalographic recordings using single-channel electroencephalographic recordings and non-negative matrix factorization
Author :
Kanoga, Suguru ; Mitsukura, Yasue
Author_Institution :
Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
fYear :
2014
fDate :
14-16 March 2014
Firstpage :
536
Lastpage :
541
Abstract :
Recently, a lot of research concerning biological signal analysis has been proceeded in various field. Especially, research about electroencephalographic (EEG) signals has attracted attention since the signal contains a mixture of endogenous brain activities. However, the EEG signal is often mixed physiological artifacts such as blink, oculogyration, heart beat or muscle activities. Therefore, it is important to remove these artifacts from the EEG recordings when researchers attempt to analyze brain activities accurately. An independent component analysis (ICA) has been used for removing blink artifacts with over 90 percentage of the repeatability for original signals. However, a common major drawback to the ICA is that this method can only manage overdetermined mixtures, which entails using some EEG electrodes. There is no rejective method for single-channel EEG signals. Therefore, in this paper, we proposed an artifactitious rejection method using single-channel EEG recordings and 2 step non-negative matrix factorization (NMF). We acquired the multi-channel EEG recordings from 3 subjects who blink every 5 seconds according to metronomic sound. Furthermore, we applied the NMF using single-channel EEG (Fp1) recordings to reject blink artifacts, and the ICA using multi-channel EEG recordings to obtain clean Fp1 signals. High SNR between reconstructed signals by the proposed method and the ICA was showed. Moreover, over 99 percentage of the repeatability for original EEG signals was indicated by the proposed method.
Keywords :
biomedical electrodes; brain; electroencephalography; independent component analysis; matrix decomposition; medical signal processing; signal reconstruction; EEG electrodes; EEG signal; ICA; NMF; artifactitious rejection method; biological signal analysis; blink artifact rejection method; blink artifacts; electroencephalographic signals; endogenous brain activity; heart beat; independent component analysis; metronomic sound; mixed physiological artifacts; multichannel EEG recordings; muscle activity; nonnegative matrix factorization; oculogyration; overdetermined mixtures; signal reconstruction; single-channel EEG recordings; single-channel electroencephalographic recordings; Approximation methods; Electrodes; Electroencephalography; Electrooculography; Image reconstruction; Matrix decomposition; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Motion Control (AMC),2014 IEEE 13th International Workshop on
Conference_Location :
Yokohama
Type :
conf
DOI :
10.1109/AMC.2014.6823338
Filename :
6823338
Link To Document :
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