Enhanced p300-based cursor movement control

被引:0
|
作者
Ma, Zhongwei [1 ]
Gao, Xiaorong [1 ]
Gao, Shangkai [1 ]
机构
[1] Tsinghua Univ, Sch Med, Dept Biomed Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
brain-computer interface (BCI); P300; support vector machine (SVM); information transfer rate (ITR); stimulus intensity; electrophysiological (EEG);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to build a high-performance brain-computer interface (BCI) for cursor movement control, a P300-based BCI system using a five-select oddball paradigm was designed and implemented. We found that high intensity visual stimuli (HIVS) can improve the performance of BCI. 9 subjects participated in the test of the proposed BCI system. Each subject completed 40 epochs with HIVS and low intensity visual stimuli (LIVS) respectively. The preprocessed data were classified by support vector machines (SVM). The averaged waveforms both from HIVS and LIVS proved that this new paradigm can elicit evident P300 potentials. Furthermore, the results indicated the information transfer rate (ITR) of HIVS could reach 5.4 bit/min, which was higher than 4.6 bit/min of LIVS.
引用
收藏
页码:120 / +
页数:3
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