Mason S G, Bashashati A, Fatourechi M, Navarro K F, Birch G E
Neil Squire Society, Brain Interface Laboratory, 220-2250 Boundary Road, Burnaby, Canada V5M 3Z3.
Ann Biomed Eng. 2007 Feb;35(2):137-69. doi: 10.1007/s10439-006-9170-0. Epub 2006 Nov 18.
In this work we present the first comprehensive survey of Brain Interface (BI) technology designs published prior to January 2006. Detailed results from this survey, which was based on the Brain Interface Design Framework proposed by Mason and Birch, are presented and discussed to address the following research questions: (1) which BI technologies are directly comparable, (2) what technology designs exist, (3) which application areas (users, activities and environments) have been targeted in these designs, (4) which design approaches have received little or no research and are possible opportunities for new technology, and (5) how well are designs reported. The results of this work demonstrate that meta-analysis of high-level BI design attributes is possible and informative. The survey also produced a valuable, historical cross-reference where BI technology designers can identify what types of technology have been proposed and by whom.
在这项工作中，我们首次对2006年1月之前发表的脑机接口（BI）技术设计进行了全面调查。本次调查基于梅森和伯奇提出的脑机接口设计框架，详细结果已呈现并讨论，以解决以下研究问题：（1）哪些脑机接口技术可直接比较；（2）存在哪些技术设计；（3）这些设计针对哪些应用领域（用户、活动和环境）；（4）哪些设计方法很少或没有得到研究，是新技术的潜在机会；（5）设计报告的质量如何。这项工作的结果表明，对高级脑机接口设计属性进行元分析是可行且有益的。该调查还产生了一个有价值的历史交叉参考，脑机接口技术设计师可以从中确定已提出的技术类型以及提出者。
