Integrating interference frequency components elicited by monitor refresh rate to enhance frequency detection of SSVEPs

Masaki Nakanishi, Yijun Wang, Yu Te Wang, Yasue Mitsukura, Tzyy Ping Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to realize a direct communication between the human brain and the outside environment in real-life situations. Recently, we proposed a stimulation approximation approach to increase the number of visual stimuli that can be realized on a computer monitor. In addition to the fundamental and harmonic frequencies, the refresh rate-based stimulation approach also elicits SSVEPs at other frequencies that are termed interference frequencies, which are derived from the interaction between the stimulation frequency and the refresh rate. This study aims to investigate properties of the interference frequency components, and propose to integrate the interference frequency components to enhance frequency detection of SSVEPs. The results suggest that the proposed approach could substantially improve the frequency detection accuracy of SSVEPs.

Original languageEnglish
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages1092-1095
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: 2013 Nov 62013 Nov 8

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period13/11/613/11/8

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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