Performance assessment in brain-computer interface-based augmentative and alternative communication.
Performance assessment in brain-computer interface-based augmentative and alternative communication.
复制标题
DOI：
10.1186/1475-925x-12-43
复制
发表时间：
2013-05-16
影响因子：
3.9
通讯作者：
Huggins JE
中科院分区：
文献类型：
--
作者：
Thompson DE;Blain-Moraes S;Huggins JE
目前，大量不可否认的指标被用于报告用于增强和替代通信（AAC）的脑机接口（BCI）的性能。由于缺乏标准指标，无法对不同的基于BCI的AAC系统进行比较，从而阻碍了该技术的快速增长和发展。本文介绍了一个审查的指标，已被用来报告业绩的BCI用于审计咨询委员会从2005年1月至2012年1月。我们区分用于报告BCI控制模块输出性能的1级指标，该模块将大脑信号转换为逻辑控制输出，以及选择增强模块的2级指标，该模块将逻辑控制转换为语义控制。我们建议：（1）相称度量互信息或信息传输速率（ITR）被用于报告1级BCI性能，因为这些度量表示信息吞吐量，这在用于AAC的BCI中是感兴趣的;（3）这些度量应该由特定于每个唯一BCI配置的信息补充;以及（4）涉及选择增强模块的研究应该报告BCI系统中的1级和2级性能。遵循这些建议将使BCI控制和选择增强模块之间的有效比较成为可能，从而加速基于BCI的AAC系统的研究和开发。
A large number of incommensurable metrics are currently used to report the performance of brain-computer interfaces (BCI) used for augmentative and alterative communication (AAC). The lack of standard metrics precludes the comparison of different BCI-based AAC systems, hindering rapid growth and development of this technology. This paper presents a review of the metrics that have been used to report performance of BCIs used for AAC from January 2005 to January 2012. We distinguish between Level 1 metrics used to report performance at the output of the BCI Control Module, which translates brain signals into logical control output, and Level 2 metrics at the Selection Enhancement Module, which translates logical control to semantic control. We recommend that: (1) the commensurate metrics Mutual Information or Information Transfer Rate (ITR) be used to report Level 1 BCI performance, as these metrics represent information throughput, which is of interest in BCIs for AAC; 2) the BCI-Utility metric be used to report Level 2 BCI performance, as it is capable of handling all current methods of improving BCI performance; (3) these metrics should be supplemented by information specific to each unique BCI configuration; and (4) studies involving Selection Enhancement Modules should report performance at both Level 1 and Level 2 in the BCI system. Following these recommendations will enable efficient comparison between both BCI Control and Selection Enhancement Modules, accelerating research and development of BCI-based AAC systems.