articleJournal of Neural EngineeringJun 3, 2009Closed access

An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method

GBGuangyu BinXGXiaorong GaoYZYan ZhengBHBo HongSGShangkai Gao

Tsinghua University

PubMed
Indexed incrossrefpubmed

Abstract

In recent years, there has been increasing interest in using steady-state visual evoked potential (SSVEP) in brain-computer interface (BCI) systems. However, several aspects of current SSVEP-based BCI systems need improvement, specifically in relation to speed, user variation and ease of use. With these improvements in mind, this paper presents an online multi-channel SSVEP-based BCI system using a canonical correlation analysis (CCA) method for extraction of frequency information associated with the SSVEP. The key parameters, channel location, window length and the number of harmonics, are investigated using offline data, and the result used to guide the design of the online system. An SSVEP-based BCI system…

Citation impact

768
total citations
FWCI
12.43
Percentile
100%
References
24
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • Brain–computer interface
  • Canonical correlation
  • Computer science
  • Interface (matter)
  • Channel (broadcasting)
  • Artificial intelligence
  • Correlation
  • Information transfer
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