A fully on-line adaptive BCI

被引:127
作者
Vidaurre, C.
Schloeogl, A.
Cabeza, R.
Scherer, R.
Pfurtscheller, G.
机构
[1] State Univ Navarra, Dept Elect Engn & Electron, Pamplona 31006, Spain
[2] Graz Univ Technol, Inst Human Comp Interfaces, A-8010 Graz, Austria
[3] Graz Univ Technol, BCI Lab Inst Comp Graph, A-8010 Graz, Austria
基金
奥地利科学基金会;
关键词
AAR; adaptive classification; BCI; on-line adaptation; QDA;
D O I
10.1109/TBME.2006.873542
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A viable fully on-line adaptive brain computer interface (BCI) is introduced. On-line experiments with nine naive and able-bodied subjects were carried out using a continuously adaptive BCI system. The data were analyzed and the viability of the system was studied. The BCI was based on motor imagery, the feature extraction was performed with an adaptive autoregressive model and the classifier used was an adaptive quadratic discriminant analysis. The classifier was on-line updated by an adaptive estimation of the information matrix (ADIM). The system was also able to provide continuous feedback to the subject. The success of the feedback was studied analyzing the error rate and mutual information of each session and this analysis showed a clear improvement of the subject's control of the BCI from session to session.
引用
收藏
页码:1214 / 1219
页数:6
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