EEG-based brain-computer interface using subject-specific spatial filters

被引：0
|
作者：
Pfurtscheller, G
Guger, C
Ramoser, H
机构：
[1] Graz Univ Technol, Inst Biomed Engn, Dept Med Informat, A-8010 Graz, Austria
[2] Graz Univ Technol, Ludwig Boltzmann Inst Med Informat & Neuroinforma, A-8010 Graz, Austria
来源：
ENGINEERING APPLICATIONS OF BIO-INSPIRED ARTIFICIAL NEURAL NETWORKS, VOL II | 1999年 / 1607卷
关键词：
Brain-Computer Interface (BCI); single-trial EEG classification; common spatial filter; motor imagery; event-related desynchronization;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Sensorimotor EEG rhythms are affected by motor imagery and can, therefore. he used as input signals for an EEG-based brain-computer interface (BCI). Satisfactory classification rates of imagery-related EEG patterns can be activated when multiple EEG recordings and the method of common spatial patterns is used Lbr parameter estimation. Data from 3 BCI experiments with and without feedback are reported.
引用
收藏
页码：248 / 254
页数：7
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