Research Department, Sint Maartenskliniek, Nijmegen, The Netherlands.
J Neural Eng. 2013 Apr;10(2):026005. doi: 10.1088/1741-2560/10/2/026005. Epub 2013 Feb 1.
The aim of this paper was to increase the information transfer in brain-computer interfaces (BCI). Therefore, a multi-signature BCI was developed and investigated. Stimuli were designed to simultaneously evoke transient somatosensory event-related potentials (ERPs) and steady-state somatosensory potentials (SSSEPs) and the ERPs and SSSEPs in isolation.
Twelve subjects participated in two sessions. In the first session, the single and combined stimulation conditions were compared on these somatosensory responses and on the classification performance. In the second session the on-line performance with the combined stimulation was evaluated while subjects received feedback. Furthermore, in both sessions, the performance based on ERP and SSSEP features was compared.
No difference was found in the ERPs and SSSEPs between stimulation conditions. The combination of ERP and SSSEP features did not perform better than with ERP features only. In both sessions, the classification performances based on ERP and combined features were higher than the classification based on SSSEP features.
Although the multi-signature BCI did not increase performance, it also did not negatively impact it. Therefore, such stimuli could be used and the best performing feature set could then be chosen individually.
本文旨在提高脑机接口(BCI)中的信息传递。因此,开发并研究了一种多签名 BCI。设计刺激以同时引发瞬态体感事件相关电位(ERP)和稳态体感电位(SSSEP)以及单独的 ERP 和 SSSEP。
十二名受试者参加了两个会话。在第一个会话中,在这些体感反应和分类性能上比较了单刺激和组合刺激条件。在第二个会话中,当受试者接受反馈时,评估了组合刺激的在线性能。此外,在两个会话中,比较了基于 ERP 和 SSSEP 特征的性能。
刺激条件之间 ERP 和 SSSEP 没有差异。ERP 和 SSSEP 特征的组合并不比仅基于 ERP 特征的表现更好。在两个会话中,基于 ERP 和组合特征的分类性能均高于基于 SSSEP 特征的分类性能。
尽管多签名 BCI 没有提高性能,但也没有产生负面影响。因此,可以使用这种刺激,然后单独选择表现最佳的特征集。