An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate

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

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

8 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 external environment in practical situations. In the conventional stimulus presentation approach, which requires a constant period of stimulation, the number of frequencies that can be presented on a computer monitor is always limited by the refresh rate of a monitor. Although an alternative approach that uses a variable on/off frame number to approximate a target flickering stimulus has been proposed in our recent study, a direct comparison between SSVEPs elicited by the conventional constant period approach and the approximation approach is still missing. This study aims to compare the amplitude, signal-to-noise ratio (SNR) and target identification accuracy of SSVEPs elicited using these two approaches with a monitor at two refresh rates (75Hz and 120Hz). Results of this study suggest that the SSVEPs elicited by the approximation approach are mostly comparable with those elicited by the constant period approach.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages2176-2179
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: 2013 Jul 32013 Jul 7

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
CountryJapan
CityOsaka
Period13/7/313/7/7

Fingerprint

Flickering
Brain-Computer Interfaces
Computer monitors
Brain computer interface
Visual Evoked Potentials
Bioelectric potentials
Signal-To-Noise Ratio
Brain
Signal to noise ratio
Communication

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Nakanishi, M., Wang, Y., Wang, Y. T., Mitsukura, Y., & Jung, T. P. (2013). An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2176-2179). [6609966] https://doi.org/10.1109/EMBC.2013.6609966

An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate. / Nakanishi, Masaki; Wang, Yijun; Wang, Yu Te; Mitsukura, Yasue; Jung, Tzyy Ping.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 2176-2179 6609966.

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

Nakanishi, M, Wang, Y, Wang, YT, Mitsukura, Y & Jung, TP 2013, An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6609966, pp. 2176-2179, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 13/7/3. https://doi.org/10.1109/EMBC.2013.6609966
Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP. An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 2176-2179. 6609966 https://doi.org/10.1109/EMBC.2013.6609966
Nakanishi, Masaki ; Wang, Yijun ; Wang, Yu Te ; Mitsukura, Yasue ; Jung, Tzyy Ping. / An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. pp. 2176-2179
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