Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 42, Issue 4, Pages 458-467Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2011.12.014
Keywords
Magnetic resonance imaging; Electroencephalography; Gradient artifact; Cross-correlation; Rolling-ball algorithm
Ask authors/readers for more resources
The main purpose of this study was to propose a robust algorithm for removing artifacts from the electroencephalographic (EEG) data collected during magnetic resonance imaging (MRI). The core idea of the proposed method was to remove the main gradient artifacts by the maximum cross-correlation method and to remove the residual artifacts by the rolling-ball algorithm and lowpass filtering. The results showed that the proposed algorithm had a better performance and was robust in the sense that its performance was maintained when the sampling rate of EEG data was decreased from 10 KHz to 200 Hz. (c) 2011 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available