How Many People Could Use an SSVEP BCI?
How Many People Could Use an SSVEP BCI?
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DOI：
10.3389/fnins.2012.00169
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发表时间：
2012
影响因子：
4.3
通讯作者：
Edlinger G
中科院分区：
文献类型：
--
作者：
Guger C;Allison BZ;Großwindhager B;Prückl R;Hintermüller C;Kapeller C;Bruckner M;Krausz G;Edlinger G
脑机接口（BCI）是一种通信系统，允许人们在不移动的情况下发送消息或命令。脑机接口依赖于脑电图（EEG）中不同类型的信号，通常是P300、稳态视觉诱发电位（SSVEP）或事件相关去极化。早期的脑机接口系统通常是用一组选定的受试者进行评估的。此外，许多文章没有提到表现不佳的受试者的数据。这些因素和其他因素使得很难估计有多少人可以使用不同的BCI。本研究探讨了有多少受试者可以使用SSVEP BCI。我们记录了53名受试者的数据，他们参加了1-4次跑步，每次4分钟。在这些跑步过程中，受试者专注于四个LED中的一个，每个LED以不同的频率闪烁。采用最小能量参数估计算法对八导脑电数据进行分析，并采用线性判别分析将其分为四类。在线结果显示，SSVEP BCI可以为所有53名受试者提供有效的沟通，平均准确率为95.5%。约96.2%的受试者达到80%以上的准确率，没有人低于60%。这项研究表明，基于SSVEP的BCI系统可以达到非常高的精度后，只有一个非常短的训练期。SSVEP方法适用于所有参与的受试者，他们的准确性远高于偶然水平。这很重要，因为它表明SSVEP BCI可以为某些用户提供通信，而其他方法可能不适用于他们。
Brain-computer interfaces (BCI) are communication systems that allow people to send messages or commands without movement. BCIs rely on different types of signals in the electroencephalogram (EEG), typically P300s, steady-state visually evoked potentials (SSVEP), or event-related desynchronization. Early BCI systems were often evaluated with a selected group of subjects. Also, many articles do not mention data from subjects who performed poorly. These and other factors have made it difficult to estimate how many people could use different BCIs. The present study explored how many subjects could use an SSVEP BCI. We recorded data from 53 subjects while they participated in 1–4 runs that were each 4 min long. During these runs, the subjects focused on one of four LEDs that each flickered at a different frequency. The eight channel EEG data were analyzed with a minimum energy parameter estimation algorithm and classified with linear discriminant analysis into one of the four classes. Online results showed that SSVEP BCIs could provide effective communication for all 53 subjects, resulting in a grand average accuracy of 95.5%. About 96.2% of the subjects reached an accuracy above 80%, and nobody was below 60%. This study showed that SSVEP based BCI systems can reach very high accuracies after only a very short training period. The SSVEP approach worked for all participating subjects, who attained accuracy well above chance level. This is important because it shows that SSVEP BCIs could provide communication for some users when other approaches might not work for them.
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发表时间：
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影响因子：
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