학술논문

On the Automated Removal of Artifacts Related to Head Movement From the EEG
Document Type
Periodical
Source
IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 21(3):427-434 May, 2013
Subject
Bioengineering
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Accelerometers
Neuroscience
Independent component analysis
Rhythm
Electroencephalography
Pollution measurement
Contamination
Automated artifact removal
brain–computer interface (BCI)
electroencephalogram
head movement
independent component analysis (ICA)
Language
ISSN
1534-4320
1558-0210
Abstract
Contamination of the electroencephalogram (EEG) by artifacts related to head movement is a major cause of reduced signal quality. This is a problem in both neuroscience and other uses of the EEG. To attempt to reduce the influence, on the EEG, of artifacts related to head movement, an accelerometer is placed on the head and independent component analysis is applied to attempt to separate artifacts which are statistically related to head movements. To evaluate the method, EEG and accelerometer measurements are made from 14 individuals with Cerebral palsy attempting to control a sensorimotor rhythm based brain–computer interface. Results show that the approach significantly reduces the influence of head movement related artifacts in the EEG.