NDLI: SNR analysis of high-frequency steady-state visual evoked potentials from the foveal and extrafoveal regions of Human Retina

Content Provider	IEEE Xplore Digital Library
Author	Fang-Cheng Lin Zao, J.K. Kuan-Chung Tu Yijun Wang Yi-Pai Huang Che-Wei Chuang Hen-Yuan Kuo Yu-Yi Chien Ching-Chi Chou Tzyy-Ping Jung
Copyright Year	2012
Description	Author affiliation: Schwartz Center of Comput. Neurosci., Univ. of California at San Diego, La Jolla, CA, USA (Yijun Wang; Tzyy-Ping Jung) \|\| Biomed. Eng. Inst., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Kuan-Chung Tu; Hen-Yuan Kuo) \|\| Photonics Dept. & the Display Inst., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Fang-Cheng Lin; Yi-Pai Huang; Yu-Yi Chien; Ching-Chi Chou) \|\| Electron. Eng. Dept., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Che-Wei Chuang) \|\| Comput. Sci. Dept., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Zao, J.K.)
Abstract	With brain-computer interface (BCI) applications in mind, we analyzed the amplitudes and the signal-to-noise ratios (SNR) of steady-state visual evoked potentials (SSVEP) induced in the foveal and extra-foveal regions of human retina. Eight subjects (age 20-55) have been exposed to 2° circular and 16°-18° annular visual stimulation produced by white LED lights flickering between 5Hz and 65Hz in 5Hz increments. Their EEG signals were recorded using a 64-channel NeuroScan system and analyzed using non-parametric spectral and canonical convolution techniques. Subjects' perception of flickering and their levels of comfort towards the visual stimulation were also noted. Almost all subjects showed distinctively higher SNR in their foveal SSVEP responses between 25Hz and 45Hz. They also noticed less flickering and felt more comfortable with the visual stimulation between 30Hz and 45Hz. These empirical evidences suggest that lights flashing above the critical flicker fusion rates (CFF) of human vision may be used as effective and comfortable stimuli in SSVEP BCI applications.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	1810
Ending Page	1814
File Size	1190443
Page Count	5
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346302
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Signal to noise ratio Humans Electroencephalography Correlation Retina Steady-state
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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