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Journal > Mechatronics, Electrical Power, and Vehicular Technology > An Experiment of Ocular Artifacts Elimination from EEG Signals using ICA and PCA Methods

 

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Mechatronics, Electrical Power, and Vehicular Technology
Vol 5, No 2 (2014)
An Experiment of Ocular Artifacts Elimination from EEG Signals using ICA and PCA Methods
Turnip, Arjon ( Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences)
R. Setiawan, Iwan ( Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences)
Junaidi, Edy
Nguyen, Le Hoa ( Dept. of Electrical Engineering, University of Science and Technology-The University of Danang)
Article Info   ABSTRACT
Published date:
19 Dec 2014
 
In the modern world of automation, biological signals, especially Electroencephalogram (EEG) is gaining wide attention as a source of biometric information. Eye-blinks and movement of the eyeballs produce electrical signals (contaminate the EEG signals) that are collectively known as ocular artifacts. These noise signals are required to be separated from the EEG signals to obtain the accurate results. This paper reports an experiment of ocular artifacts elimination from EEG signal using blind source separation algorithm based on independent component analysis and principal component analysis. EEG signals are recorded on three conditions, which are normal conditions, closed eyes, and blinked eyes. After processing, the dominant frequency of EEG signals in the range of 12-14 Hz either on normal, closed, and blinked eyes conditions is obtained. 
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