期刊
COMPUTERS IN BIOLOGY AND MEDICINE
卷 42, 期 4, 页码 458-467出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2011.12.014
关键词
Magnetic resonance imaging; Electroencephalography; Gradient artifact; Cross-correlation; Rolling-ball algorithm
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.
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