Combining Features for BCI
Combining Features for BCI
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发表时间：
2002
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通讯作者：
G. Dornhege;B. Blankertz;G. Curio;K. Müller
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作者：
G. Dornhege;B. Blankertz;G. Curio;K. Müller
最近，人们越来越关注开发一种有效的通信接口，将人脑连接到计算机，即“脑机接口”（BCI）。BCI研究的动机之一是为严重神经肌肉残疾患者提供一种新的替代正常运动输出的沟通渠道。在过去的十年中，各种神经生理皮层过程，如慢电位移位，运动相关电位（MRP）或事件相关去极化（ERD）的自发EEG节律，被证明是适合BCI，因此，不同的独立的方法提取BCI相关的EEG功能的单次试验分析正在调查中。在这里，我们提出并系统地比较了几个概念相结合，这样的EEG功能，以提高单次试验分类。功能组合进行评估的运动想象力实验与3个主题的EEG功能的基础上，无论是MRP或ERD，或两者兼而有之。这些结合了单个脑电特征在生理上相互独立的假设的组合方法优于简单地连接单个特征向量的“添加”证据的简单方法。这些结果强化了MRP和ERD至少部分反映了皮层过程的独立方面的假设，并为提高BCI的有效性开辟了新的视角。
Recently, interest is growing to develop an effective communication interface connecting the human brain to a computer, the 'Brain-Computer Interface' (BCI). One motivation of BCI research is to provide a new communication channel substituting normal motor output in patients with severe neuromuscular disabilities. In the last decade, various neuro-physiological cortical processes, such as slow potential shifts, movement related potentials (MRPs) or event-related desynchronization (ERD) of spontaneous EEG rhythms, were shown to be suitable for BCI, and, consequently, different independent approaches of extracting BCI-relevant EEG-features for single-trial analysis are under investigation. Here, we present and systematically compare several concepts for combining such EEG-features to improve the single-trial classification. Feature combinations are evaluated on movement imagination experiments with 3 subjects where EEG-features are based on either MRPs or ERD, or both. Those combination methods that incorporate the assumption that the single EEG-features are physiologically mutually independent outperform the plain method of 'adding' evidence where the single-feature vectors are simply concatenated. These results strengthen the hypothesis that MRP and ERD reflect at least partially independent aspects of cortical processes and open a new perspective to boost BCI effectiveness.