Mason Steven G, Birch Gary E
Neil Squire Foundation, Burnaby, BC V5M 3Z3, Canada.
IEEE Trans Neural Syst Rehabil Eng. 2003 Mar;11(1):70-85. doi: 10.1109/TNSRE.2003.810426.
The Brain-Computer Interface (BCI) research community has acknowledged that researchers are experiencing difficulties when they try to compare the BCI techniques described in the literature. In response to this situation, the community has stressed the need for objective methods to compare BCI technologies. Suggested improvements have included the development and use of benchmark applications and standard data sets. However, as a young, multidisciplinary research field, the BCI community lacks a common vocabulary. As a result, this deficiency leads to poor intergroup communication, which hinders the development of the desired methods of comparison. One of the principle reasons for the lack of common vocabulary is the absence of a common functional model of a BCI System. This paper proposes a new functional model for BCI System design. The model supports many features that facilitate the comparison of BCI technologies with other BCI and non-BCI user interface technologies. From this model, taxonomy for BCI System design is developed. Together the model and taxonomy are considered a general framework for BCI System design. The representational power of the proposed framework was evaluated by applying it to a set of existing BCI technologies. The framework could effectively describe all of the BCI System designs tested.
脑机接口（BCI）研究界已经认识到，研究人员在尝试比较文献中描述的BCI技术时遇到了困难。针对这种情况，该研究界强调需要采用客观方法来比较BCI技术。建议的改进措施包括开发和使用基准应用程序以及标准数据集。然而，作为一个年轻的多学科研究领域，BCI研究界缺乏通用的词汇。因此，这一缺陷导致群体间沟通不畅，阻碍了所需比较方法的发展。缺乏通用词汇的一个主要原因是缺乏BCI系统的通用功能模型。本文提出了一种用于BCI系统设计的新功能模型。该模型支持许多有助于将BCI技术与其他BCI和非BCI用户界面技术进行比较的功能。基于此模型，开发了BCI系统设计的分类法。该模型和分类法共同构成了BCI系统设计的通用框架。通过将所提出的框架应用于一组现有的BCI技术，评估了该框架的表征能力。该框架能够有效地描述所有测试的BCI系统设计。
