Time-frequency analysis of duty cycle changing on steady-state visual evoked potential: EEG recording

The purpose of this paper is to investigate the applicability of duty cycle for steady-state visual evoked potential (SSVEP)-based application. For this, the time-frequency analysis of SSVEP during visual stimuli presentation with different duty cycles was performed. The commercial wireless EEG headset with O1 and O2 channels was utilized to record the associated brain activity. The experimental paradigm, in this experiment, we mainly focus on instantaneously changes of duty cycle of SSVEP in the four principal frequency bands, i.e., theta (3-7 Hz), alpha (8-12 Hz), beta (13-30 Hz), and gamma (30-40 Hz). Peak magnitude, peak frequency, and spectral coherence of SSVEP were measured. Results showed that coherences measured in the theta and alpha bands differed significantly with p <; 0.001. Thus, the present results suggest that the duty cycle is recommended as a feature for potential multicommand SSVEP-based applications.

[1]  Dezhong Yao,et al.  Stimulator selection in SSVEP-based BCI. , 2008, Medical engineering & physics.

[2]  Zhenghua Wu.  The difference of SSVEP resulted by different pulse duty-cycle , 2009, 2009 International Conference on Communications, Circuits and Systems.

[3]  Po-Lei Lee,et al.  Adaptive SSVEP-Based BCI System With Frequency and Pulse Duty-Cycle Stimuli Tuning Design , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  C. Herrmann.  Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena , 2001, Experimental Brain Research.

[5]  Po-Lei Lee,et al.  An SSVEP-Based BCI Using High Duty-Cycle Visual Flicker , 2011, IEEE Transactions on Biomedical Engineering.

[6]  Min-Chul Park,et al.  SSVEP and ERP measurement of cognitive fatigue caused by stereoscopic 3D , 2012, Neuroscience Letters.

[7]  G. Dawson,et al.  Resting State Cortical Connectivity Reflected in EEG Coherence in Individuals With Autism , 2007, Biological Psychiatry.

[8]  G. Sperling,et al.  Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency. , 2006, Cerebral cortex.

[9]  Francesco Piccione,et al.  User adaptive BCIs: SSVEP and P300 based interfaces , 2003, PsychNology J..

[10]  Hubert Cecotti.  Effect of the Stimulus Duty Cycle on Steady-State Visual Evoked Potential detection , 2010 .

[11]  Yangsong Zhang,et al.  SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus , 2013, PloS one.

[12]  H. Cecotti.  Classification of Steady-State Visual Evoked Potentials based on the visual stimuli duty cycle , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[13]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[14]  Yodchanan Wongsawat,et al.  Minimal-assisted SSVEP-based brain-computer interface device , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

[15]  Andrzej Cichocki,et al.  Analyzing Steady State Visual Evoked Potentials Using Blind Source Separation , 2010 .