Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface.

Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface.
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DOI:
10.1016/j.jneumeth.2010.02.002
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发表时间:
2010-04-30
影响因子:
3
通讯作者:
Neuper, Christa
Neuper, Christa
中科院分区:
医学4区
文献类型:
--
作者:
Brunner, Clemens;Allison, Brendan Z.;Krusienski, Dean J.;Kaiser, Vera;Mueller-Putz, Gernot R.;Pfurtscheller, Gert;Neuper, Christa

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在传统的脑机接口(BCI)系统中,用户执行心理任务,产生特定的大脑活动模式。模式识别系统确定用户正在产生哪种大脑活动模式,从而推断用户的心理任务,允许用户仅通过大脑活动发送信息或命令。不幸的是,尽管进行了广泛的研究以提高分类准确性,但脑机接口几乎总是会出现错误,这些错误有时非常严重,以至于无法进行有效的沟通。我们最近引入了一个新的想法来提高准确性,特别是对于性能较差的用户。在“混合”脑机接口的离线模拟中,受试者分别独立完成两项脑力任务,然后同时完成。这种混合脑机接口可以使用脑机接口中常见的两种不同类型的脑信号——事件相关去同步(ERD)和稳态诱发电位(ssep)。本研究表明这种混合型脑机接口是可行的。在这里,我们重新分析了我们最初研究的数据。我们探索了八种不同的信号处理方法,旨在改进分类,并进一步评估混合条件的原因和益处的程度。大多数分析表明,本文描述的改进方法在统计上比我们最初的研究有显著的改进。其中一些改进也可能与传统的脑机接口相关。此外,在杂交条件下,文盲的数量可以减少。结果还讨论了双任务干扰和相关的协议设计在混合脑机接口。
In a conventional brain–computer interface (BCI) system, users perform mental tasks that yield specific patterns of brain activity. A pattern recognition system determines which brain activity pattern a user is producing and thereby infers the user’s mental task, allowing users to send messages or commands through brain activity alone. Unfortunately, despite extensive research to improve classification accuracy, BCIs almost always exhibit errors, which are sometimes so severe that effective communication is impossible. We recently introduced a new idea to improve accuracy, especially for users with poor performance. In an offline simulation of a “hybrid” BCI, subjects performed two mental tasks independently and then simultaneously. This hybrid BCI could use two different types of brain signals common in BCIs – event-related desynchronization (ERD) and steady-state evoked potentials (SSEPs). This study suggested that such a hybrid BCI is feasible. Here, we re-analyzed the data from our initial study. We explored eight different signal processing methods that aimed to improve classification and further assess both the causes and the extent of the benefits of the hybrid condition. Most analyses showed that the improved methods described here yielded a statistically significant improvement over our initial study. Some of these improvements could be relevant to conventional BCIs as well. Moreover, the number of illiterates could be reduced with the hybrid condition. Results are also discussed in terms of dual task interference and relevance to protocol design in hybrid BCIs.
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