What does clean EEG look like?

被引：0
|
作者：
Daly, Ian [1 ]
Pichiorri, Floriana
Faller, Josef [1 ]
Kaiser, Vera [1 ]
Kreilinger, Alex [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：
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年
关键词：
ARTIFACTS; MOVEMENT; REMOVAL;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Lack of a clear analytical metric for identifying artifact free, clean electroencephalographic (EEG) signals inhibits robust comparison of different artifact removal methods and lowers confidence in the results of EEG analysis. An algorithm is presented for identifying clean EEG epochs by thresholding statistical properties of the EEG. Thresholds are trained on EEG datasets from both healthy subjects and stroke / spinal cord injury patient populations via differential evolution (DE).
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页码：3963 / 3966
页数：4
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