DocumentCode :
2252579
Title :
Automatic removal of eye-blink artifacts based on ICA and peak detection algorithm
Author :
Gao, Junfeng ; Lin, Pan ; Yang, Yang ; Wang, Pei
Author_Institution :
Res. Inst. of Biomed. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
22
Lastpage :
27
Abstract :
In this study a novel technique is proposed to automatically remove eye-blink artifacts from EEG signals. EEG signal is decomposed into independent components by independent component analysis (ICA) method. First, we demonstrate that feature-extraction method is not very suitable for identifying eye-blink artifacts components. Hence a peak detection algorithm of independent component is proposed to identify eye-blink artifacts components. Finally, the proposed artifact removal method is evaluated on some contaminated EEG signals, and the results show that it is able to effectively remove eye-blink artifacts from EEG signals with little distortion of underlying brain signals.
Keywords :
electroencephalography; eye; feature extraction; independent component analysis; medical signal detection; medical signal processing; EEG; ICA; automatic eye-blink artifact removal; brain signals; feature extraction; independent component analysis; peak detection algorithm; Asia; Automatic control; Biomedical engineering; Biomedical informatics; Detection algorithms; Electroencephalography; Equations; Frequency domain analysis; Independent component analysis; Robotics and automation; eye-blink artifacts; independent component analysis (ICA); peak detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456864
Filename :
5456864
Link To Document :
بازگشت