Robust EEG channel selection across subjects for brain-computer interfaces
Robust EEG channel selection across subjects for brain-computer interfaces
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DOI：
10.1155/asp.2005.3103
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发表时间：
2005-01-01
期刊：
影响因子：
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通讯作者：
Schölkopf, B
中科院分区：
文献类型：
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作者：
Schröder, M;Lal, TN;Schölkopf, B
大多数基于EEG的脑机接口（BCI）范例都沿着特定的电极位置，例如，对于基于视觉的BCI，使用接近初级视觉皮质的电极位置。对于新的BCI范例，通常不知道在何处可以从头皮测量任务相关活动。对于个体受试者，Lal等人在2004年表明，记录位置可以在不使用关于所用范式的先验知识的情况下找到。然而，目前还不清楚他们的递归通道消除（RCE）方法在多大程度上可以推广到所有受试者。在本文中，我们将渠道排名从一组主题转移到一个新的主题。对于运动想象任务的结果是有希望的，虽然跨主题的通道选择不完全实现通道选择的性能上的数据的单个主题。虽然RCE方法没有提供有关心理任务的先验知识，但众所周知重要的通道（从生理学的角度来看）被一致地选择，而与任务无关的通道被可靠地忽略。
Most EEG-based brain-computer interface (BCI) paradigms come along with specific electrode positions, for example, for a visual-based BCI, electrode positions close to the primary visual cortex are used. For new BCI paradigms it is usually not known where task relevant activity can be measured from the scalp. For individual subjects, Lal et al. in 2004 showed that recording positions call be found without the use of prior knowledge about the paradigm used. However it remains unclear to what extent their method of recursive channel elimination (RCE) can be generalized across subjects. In this paper we transfer channel rankings from a group of subjects to a new subject. For motor imagery tasks the results are promising, although cross-subject channel selection does not quite achieve the performance of channel selection on data of single subjects. Although the RCE method was not provided with prior knowledge about the mental task, channels that are well known to be important (from a physiological point of view) were consistently selected whereas task-irrelevant channels were reliably disregarded.