Darvishi Sam, Abbott Derek, Baumert Mathias
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:2880-3. doi: 10.1109/EMBC.2015.7318993.
Brain computer interfaces (BCIs) enable human brains to interact directly with machines. Motor imagery based BCI (MI-BCI) encodes the motor intentions of human agents and provides feedback accordingly. However, 15-30% of people are not able to perform vivid motor imagery. To save time and monetary resources, a number of predictors have been proposed to screen for users with low BCI aptitude. While the proposed predictors provide some level of correlation with MI-BCI performance, simple, objective and accurate predictors are currently not available. Thus, in this study we have examined the utility of a simple reaction time (SRT) test for predicting MI-BCI performance. We enrolled 10 subjects and measured their motor imagery performance with either visual or proprioceptive feedback. Their reaction time was also measured using a SRT test. The results show a significant negative correlation (r ≈ -0.67) between SRT and MI-BCI performance. Therefore SRT may be used as a simple and reliable predictor of MI-BCI performance.
脑机接口（BCIs）使人类大脑能够直接与机器进行交互。基于运动想象的脑机接口（MI-BCI）对人类主体的运动意图进行编码，并据此提供反馈。然而，15%至30%的人无法进行生动的运动想象。为了节省时间和资金资源，已经提出了一些预测指标来筛选脑机接口能力较低的用户。虽然所提出的预测指标与MI-BCI性能有一定程度的相关性，但目前还没有简单、客观且准确的预测指标。因此，在本研究中，我们检验了简单反应时间（SRT）测试对预测MI-BCI性能的效用。我们招募了10名受试者，并用视觉或本体感觉反馈测量了他们的运动想象性能。他们的反应时间也通过SRT测试进行了测量。结果显示，SRT与MI-BCI性能之间存在显著的负相关（r≈ -0.67）。因此，SRT可以用作MI-BCI性能的简单可靠预测指标。
