A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm
复制标题
基于失配负范式修正的 P300 脑机接口
DOI：
10.1142/s0129065715500112
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发表时间：
2015-05-01
影响因子：
8
通讯作者：
Cichocki, Andrzej
中科院分区：
文献类型：
--
作者：
Jin, Jing;Sellers, Eric W.;Cichocki, Andrzej
基于P300的脑机接口（BCI）是oddball范式的扩展，可以促进严重神经肌肉疾病患者的沟通。已经表明，除了P300之外，其他事件相关电位（ERP）成分已经被证明有助于P300 BCI的成功操作。将这些成分引入分类算法中，可以提高分类精度和信息传输率（ITR）。在本文中，一个单一的字符呈现范式进行了比较，是基于视觉失配负性的呈现范式。负性不匹配范式的分类准确率和ITRs显著高于单个字符呈现范式。此外，不匹配范式比单字符范式诱发更大的N200和N400成分。呈现方法所引出的成分与错配范式所预期的成分是一致的，并且还观察到典型的P300。结果表明，通过增加ERP分量的幅度来提高信噪比，可以显著提高BCI的速度和准确性。失配呈现范式可以被认为是传统P300 BCI范式的可行选择。
The P300-based brain-computer interface (BCI) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. It has been shown that, in addition to the P300, other event-related potential (ERP) components have been shown to contribute to successful operation of the P300 BCI. Incorporating these components into the classification algorithm can improve the classification accuracy and information transfer rate (ITR). In this paper, a single character presentation paradigm was compared to a presentation paradigm that is based on the visual mismatch negativity. The mismatch negativity paradigm showed significantly higher classification accuracy and ITRs than a single character presentation paradigm. In addition, the mismatch paradigm elicited larger N200 and N400 components than the single character paradigm. The components elicited by the presentation method were consistent with what would be expected from a mismatch paradigm and a typical P300 was also observed. The results show that increasing the signal-to-noise ratio by increasing the amplitude of ERP components can significantly improve BCI speed and accuracy. The mismatch presentation paradigm may be considered a viable option to the traditional P300 BCI paradigm.