An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System

This study presents a new steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI). SSVEPs, induced by phase-tagged flashes in eight light emitting diodes (LEDs), were used to control four cursor movements (up, right, down, and left) and four button functions (on, off, right-, and left-clicks) on a screen menu. EEG signals were measured by one EEG electrode placed at Oz position, referring to the international EEG 10-20 system. Since SSVEPs are time-locked and phase-locked to the onsets of SSVEP flashes, EEG signals were bandpass-filtered and segmented into epochs, and then averaged across a number of epochs to sharpen the recorded SSVEPs. Phase lags between the measured SSVEPs and a reference SSVEP were measured, and targets were recognized based on these phase lags. The current design used eight LEDs to flicker at 31.25 Hz with 45° phase margin between any two adjacent SSVEP flickers. The SSVEP responses were filtered within 29.25–33.25 Hz and then averaged over 60 epochs. Owing to the utilization of high-frequency flickers, the induced SSVEPs were away from low-frequency noises, 60 Hz electricity noise, and eye movement artifacts. As a consequence, we achieved a simple architecture that did not require eye movement monitoring or other artifact detection and removal. The high-frequency design also achieved a flicker fusion effect for better visualization. Seven subjects were recruited in this study to sequentially input a command sequence, consisting of a sequence of eight cursor functions, repeated three times. The accuracy and information transfer rate (mean ± SD) over the seven subjects were 93.14 ± 5.73% and 28.29 ± 12.19 bits/min, respectively. The proposed system can provide a reliable channel for severely disabled patients to communicate with external environments.

[1]  C. Eriksen,et al.  Visual attention within and around the field of focal attention: A zoom lens model , 1986, Perception & psychophysics.

[2]  Erich E. Sutter,et al.  The field topography of ERG components in man—I. The photopic luminance response , 1992, Vision Research.

[3]  W B Wilson,et al.  Visual-evoked response differentiation of ischemic optic neuritis from the optic neuritis of multiple sclerosis. , 1978, American journal of ophthalmology.

[4]  S. Kobayashi,et al.  Electroencephalographic activity associated with shifts of visuospatial attention. , 1994, Brain : a journal of neurology.

[5]  Yu-Te Wu,et al.  NeuroImage , in press , 2003 ICA-based spatiotemporal approach for single-trial analysis of post-movement MEG beta synchronization , 2003 .

[6]  D. Somers,et al.  Multiple Spotlights of Attentional Selection in Human Visual Cortex , 2004, Neuron.

[7]  John J. Foxe,et al.  Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  L Carlin,et al.  Juvenile metachromatic leukodystrophy: Evoked potentials and computed tomography , 1983, Annals of neurology.

[9]  S. Hillyard,et al.  Event-related brain potentials in the study of visual selective attention. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[10]  J D Horbar,et al.  Acute visual evoked potential changes in hydrocephalus. , 1982, Electroencephalography and clinical neurophysiology.

[11]  K. Squires,et al.  Effect of Halothane Anesthesia on the Human Cortical Visual Evoked Response , 1980, Anesthesiology.

[12]  I. Rentschler,et al.  Amplitude and phase characteristics of the steady-state visual evoked potential. , 1988, Applied optics.

[13]  G Pfurtscheller,et al.  Current trends in Graz Brain-Computer Interface (BCI) research. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[14]  Tamer Demiralp,et al.  Cross-Modality Experiments on the Cat Brain , 1999 .

[15]  E Donchin,et al.  Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[16]  Shangkai Gao,et al.  A practical VEP-based brain-computer interface. , 2006, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[17]  Erich E. Sutter,et al.  The brain response interface: communication through visually-induced electrical brain responses , 1992 .

[18]  Erol Basar,et al.  Topography of alpha and theta oscillatory responses upon auditory and visual stimuli in humans , 2004, Biological Cybernetics.

[19]  A Sances,et al.  Evoked Cortical Potentials in Patients with Stroke , 1966, Circulation.

[20]  Wei Wu,et al.  Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs , 2007, IEEE Transactions on Biomedical Engineering.

[21]  S Makeig,et al.  Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.

[22]  E Donchin,et al.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[23]  Po-Lei Lee,et al.  The Brain Computer Interface Using Flash Visual Evoked Potential and Independent Component Analysis , 2006, Annals of Biomedical Engineering.

[24]  Yu-Te Wu,et al.  Brain computer interface using flash onset and offset visual evoked potentials , 2008, Clinical Neurophysiology.

[25]  B Brown,et al.  Variation of topographic visually evoked potentials across the visual field. , 1997, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[26]  R. Desimone,et al.  Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention , 2001, Science.

[27]  J. Maunsell,et al.  Attentional Modulation of Visual Signal Processing in the Parietal Cortex , 1997 .

[28]  L.J. Trejo,et al.  Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[29]  Xiaorong Gao,et al.  Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.

[30]  T. Sejnowski,et al.  Analysis and visualization of single‐trial event‐related potentials , 2001, Human brain mapping.

[31]  R. Desimone,et al.  Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. , 1997, Journal of neurophysiology.

[32]  S. Klein,et al.  The topography of visual evoked response properties across the visual field. , 1994, Electroencephalography and clinical neurophysiology.

[33]  G Pfurtscheller,et al.  Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[34]  Wei Wu,et al.  Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs , 2006, IEEE Transactions on Biomedical Engineering.

[35]  S. Nishida,et al.  A new brain-computer interface design using fuzzy ARTMAP , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[36]  R. Worth,et al.  Brain stem auditory, visual and somatosensory evoked potentials in leukodystrophies. , 1982, Electroencephalography and clinical neurophysiology.

[37]  Henri Begleiter,et al.  Evoked Potential Primer , 1986 .

[38]  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.

[39]  E. Reilly,et al.  Visual evoked potentials during hypothermia and prolonged circulatory arrest. , 1978, Electroencephalography and clinical neurophysiology.

[40]  Barak A. Pearlmutter,et al.  Independent Components of Magnetoencephalography: Single-Trial Response Onset Times , 2002, NeuroImage.

[41]  Helge J. Ritter,et al.  Improving Transfer Rates in Brain Computer Interfacing: A Case Study , 2002, NIPS.

[42]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

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

[44]  H. Flor,et al.  A spelling device for the paralysed , 1999, Nature.

[45]  S A Hillyard,et al.  Spatial gradients of visual attention: behavioral and electrophysiological evidence. , 1988, Electroencephalography and clinical neurophysiology.

[46]  N. Birbaumer,et al.  A brain–computer interface (BCI) for the locked-in: comparison of different EEG classifications for the thought translation device , 2003, Clinical Neurophysiology.

[47]  G Calhoun,et al.  Brain-computer interfaces based on the steady-state visual-evoked response. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[48]  S. Hillyard,et al.  Spatial Selective Attention Affects Early Extrastriate But Not Striate Components of the Visual Evoked Potential , 1996, Journal of Cognitive Neuroscience.

[49]  K Ramadoss,et al.  Automatic Identification and Removal of Ocular Artifacts from EEG using Wavelet Transform , 2006 .

[50]  W. Trojaborg,et al.  Evoked cortical potentials in patients with "isoelectric" EEGs. , 1973, Electroencephalography and clinical neurophysiology.

[51]  R. Carpenter,et al.  Movements of the Eyes , 1978 .

[52]  G. V. Simpson,et al.  Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific α-Bank Electroencephalography Increases over Occipital Cortex , 2000, The Journal of Neuroscience.

[53]  Plamen Manoilov,et al.  EEG Eye-Blinking Artefacts Power Spectrum Analysis , 2006 .

[54]  Gary E. Birch,et al.  A brain-controlled switch for asynchronous control applications , 2000, IEEE Trans. Biomed. Eng..

[55]  C. Raitta,et al.  Changes in the electroretinogram and visual evoked potentials during general anaesthesia , 1979, Albrecht von Graefes Archiv für klinische und experimentelle Ophthalmologie.

[56]  M. Gazzaniga,et al.  Combined spatial and temporal imaging of brain activity during visual selective attention in humans , 1994, Nature.

[57]  Andrew T. Duchowski,et al.  Eye Tracking Methodology: Theory and Practice , 2003, Springer London.

[58]  Po-Lei Lee,et al.  Visual evoked potential actuated brain computer interface: a brain-actuated cursor system , 2005 .

[59]  Wood-Hi Cheng,et al.  1.55 μm InGaAsP low-threshold buried-crescent injection laser , 1985 .

[60]  W M Carroll,et al.  Pattern- and flash-evoked potential changes in toxic (nutritional) optic neuropathy. , 1982, Advances in neurology.