On the Automated Removal of Artifacts Related to Head Movement From the EEG

被引：52
|
作者：
Daly, Ian [1 ]
Billinger, Martin [1 ]
Scherer, Reinhold [1 ]
Mueller-Putz, Gernot [1 ]
机构：
[1] Graz Univ Technol, Inst Knowledge Discovery, Lab Brain Comp Interfaces, A-8010 Graz, Austria
来源：
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2013年 / 21卷 / 03期
关键词：
Automated artifact removal; brain-computer interface (BCI); electroencephalogram; head movement; independent component analysis (ICA);
D O I：
10.1109/TNSRE.2013.2254724
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：427 / 434
页数：8
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