Application of a single-flicker online SSVEP BCI for spatial navigation
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Alexander Maye | Qin Gong | Dan Zhang | Jingjing Chen | Andreas K Engel | A. Engel | A. Maye | Dan Zhang | Jingjing Chen | Qin Gong
[1] A. Engel,et al. An independent brain–computer interface using covert non-spatial visual selective attention , 2010, Journal of neural engineering.
[2] Wei Wu,et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.
[3] Mário Sarcinelli-Filho,et al. Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface. , 2013, Medical engineering & physics.
[4] Toshihiro Kawase,et al. Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI , 2015, Clinical Neurophysiology.
[5] Simon P. Kelly,et al. Visual spatial attention control in an independent brain-computer interface , 2005, IEEE Transactions on Biomedical Engineering.
[6] A Graser,et al. BCI Demographics II: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI? , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[7] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[8] Kwang Suk Park,et al. An amplitude-modulated visual stimulation for reducing eye fatigue in SSVEP-based brain–computer interfaces , 2014, Clinical Neurophysiology.
[9] K. Müller,et al. Effect of higher frequency on the classification of steady-state visual evoked potentials , 2016, Journal of neural engineering.
[10] Rami Saab,et al. A Hybrid Brain–Computer Interface Based on the Fusion of P300 and SSVEP Scores , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[11] 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.
[12] Paolo Bonato,et al. Patient specific ankle-foot orthoses using rapid prototyping , 2011, Journal of NeuroEngineering and Rehabilitation.
[13] Alexander Maye,et al. Utilizing Retinotopic Mapping for a Multi-Target SSVEP BCI With a Single Flicker Frequency , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] Gao Xiaorong,et al. Brain-computer interface based on the high-frequency steady-state visual evoked potential , 2005, Proceedings. 2005 First International Conference on Neural Interface and Control, 2005..
[15] Wei Wu,et al. An Idle-State Detection Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Maximum Evoked Response Spatial Filter , 2015, Int. J. Neural Syst..
[16] Wei Wu,et al. Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs , 2006, IEEE Transactions on Biomedical Engineering.
[17] Xiaorong Gao,et al. Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.
[18] Tzyy-Ping Jung,et al. SNR analysis of high-frequency steady-state visual evoked potentials from the foveal and extrafoveal regions of Human Retina , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[19] Yuanqing Li,et al. A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[20] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[21] Brendan Z. Allison,et al. How Many People Could Use an SSVEP BCI? , 2012, Front. Neurosci..
[22] C. R. Rao,et al. The Utilization of Multiple Measurements in Problems of Biological Classification , 1948 .
[23] Christian Mandel,et al. Navigating a smart wheelchair with a brain-computer interface interpreting steady-state visual evoked potentials , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[25] D. Regan. Steady-state evoked potentials. , 1977, Journal of the Optical Society of America.
[26] Denis G. Pelli,et al. ECVP '07 Abstracts , 2007, Perception.
[27] Brendan Z. Allison,et al. Journal of Neuroscience Methods , 2022 .
[28] Pablo F. Diez,et al. Asynchronous BCI control using high-frequency SSVEP , 2011, Journal of NeuroEngineering and Rehabilitation.
[29] José del R. Millán,et al. Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.
[30] Ying Sun,et al. Asynchronous P300 BCI: SSVEP-based control state detection , 2010, 2010 18th European Signal Processing Conference.
[31] Tzyy-Ping Jung,et al. High-speed spelling with a noninvasive brain–computer interface , 2015, Proceedings of the National Academy of Sciences.
[32] Tzyy-Ping Jung,et al. High-frequency polychromatic visual stimuli for new interactive display systems , 2015 .
[33] Brad Lehman,et al. LED lighting flicker and potential health concerns: IEEE standard PAR1789 update , 2010, 2010 IEEE Energy Conversion Congress and Exposition.
[34] J. Wolpaw,et al. Towards an independent brain–computer interface using steady state visual evoked potentials , 2008, Clinical Neurophysiology.