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Brain Science Advances 2022, 8(1): 50-56 https://doi.org/10.26599/BSA.2022.9050006
Research Article | Open Access | Issue | Published: 22 May 2022

Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials

Show Author's Information Shangen Zhang1,  Xiaogang Chen2( )
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
Keywords:
brain-computer interface, signal-to-noise ratio, steady-state visual evoked potential, background lumimance, visual stimulus
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Zhang S, Chen X. Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials. Brain Science Advances, 2022, 8(1): 50-56. https://doi.org/10.26599/BSA.2022.9050006
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Abstract Full text About this article

Steady-state visual evoked potential (SSVEP)-based brain- computer interfaces (BCIs) have been widely studied. Considerable progress has been made in the aspects of stimulus coding, electroencephalogram processing, and recognition algorithms to enhance system performance. The properties of SSVEP have been demonstrated to be highly sensitive to stimulus luminance. However, thus far, there have been very few reports on the impact of background luminance on the system performance of SSVEP- based BCIs. This study investigated the impact of stimulus background luminance on SSVEPs. Specifically, this study compared two types of background luminance, i.e., (1) black luminance [red, green, blue (rgb): (0, 0, 0)] and (2) gray luminance [rgb: (128, 128, 128)], and determined their effect on the classification performance of SSVEPs at the stimulus frequencies of 9, 11, 13, and 15 Hz. The offline results from nine healthy subjects showed that compared with the gray background luminance, the black background luminance induced larger SSVEP amplitude and larger signal-to- noise ratio, resulting in a better classification accuracy. These results suggest that the background luminance of visual stimulus has a considerable effect on the SSVEP and therefore has a potential to improve the BCI performance.


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About this article

Effect of background luminance of visual stimulus on elicited steady-state visual evoked potentials

Show Author's information Shangen Zhang1, Xiaogang Chen2( )
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China

Abstract

Steady-state visual evoked potential (SSVEP)-based brain- computer interfaces (BCIs) have been widely studied. Considerable progress has been made in the aspects of stimulus coding, electroencephalogram processing, and recognition algorithms to enhance system performance. The properties of SSVEP have been demonstrated to be highly sensitive to stimulus luminance. However, thus far, there have been very few reports on the impact of background luminance on the system performance of SSVEP- based BCIs. This study investigated the impact of stimulus background luminance on SSVEPs. Specifically, this study compared two types of background luminance, i.e., (1) black luminance [red, green, blue (rgb): (0, 0, 0)] and (2) gray luminance [rgb: (128, 128, 128)], and determined their effect on the classification performance of SSVEPs at the stimulus frequencies of 9, 11, 13, and 15 Hz. The offline results from nine healthy subjects showed that compared with the gray background luminance, the black background luminance induced larger SSVEP amplitude and larger signal-to- noise ratio, resulting in a better classification accuracy. These results suggest that the background luminance of visual stimulus has a considerable effect on the SSVEP and therefore has a potential to improve the BCI performance.

Keywords: brain-computer interface, signal-to-noise ratio, steady-state visual evoked potential, background lumimance, visual stimulus

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Publication history

Received: 30 December 2021
Revised: 16 February 2022
Accepted: 22 February 2022
Published: 22 May 2022
Issue date: March 2022

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© The authors 2022.

Acknowledgements

Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant No. 62171473), Beijing Science and Technology Program (Grant No. Z201100004420015), and Fundamental Research Funds for the Central Universities of China (Grant No. FRF-TP-20- 017A1).

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