A P300 brain-computer interface based on a modification of the mismatch negativity paradigm

Jing Jin, Eric W. Sellers, Sijie Zhou, Yu Zhang, Xingyu Wang, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

114 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number1550011
JournalInternational Journal of Neural Systems
Volume25
Issue number3
DOIs
Publication statusPublished - 25 May 2015
Externally publishedYes

Keywords

  • Brain computer interface
  • event-related potentials
  • mismatch negativity

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