Response error correction - A demonstration of improved human-machine performance using real-time EEG monitoring

被引：95
作者：
Parra, LC [1 ]
Spence, CD
Gerson, AD
Sajda, P
机构：
[1] Sarnoff Corp, Princeton, NJ 08540 USA
[2] Columbia Univ, Dept Biomed Engn, New York, NY 10024 USA
来源：
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2003年 / 11卷 / 02期
关键词：
grain-computer interface (BCI); electroencephalography (EEG); error related negativity (ERN); eye blink removal; single-trial detection;
D O I：
10.1109/TNSRE.2003.814446
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We describe a brain-computer interface (BCI) system, which uses a set of adaptive linear. preprocessing and classification algorithms for single-trial detection of error related negativity (ERN). We use the detected ERN as an estimate of a subject's perceived error during an alternative forced choice visual discrimination task. The detected ERN is used to correct subject errors. Our initial results show average improvement in subject performance of 21% when errors are automatically corrected via the BCI. We are currently investigating the generalization of the overall approach to other tasks and stimulus paradigms.
引用
收藏
页码：173 / 177
页数：5
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