A survey of stimulation methods used in SSVEP-based BCIs

Computational Intelligence and Neuroscience

Volumn 2010, Issue , 2010, Pages

  Zhu, Danhua ^a,b,c   Bieger, Jordi ^b,d   Garcia Molina, Gary ^b   Aarts, Ronald M ^a,b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c ZHEJIANG UNIVERSITY   (China)

^d RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPUTER; COMPUTER INTERFACE; COMPUTER PROGRAM; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EVOKED VISUAL RESPONSE; HUMAN; MENTAL FUNCTION; METHODOLOGY; PHOTOSTIMULATION; PHYSIOLOGY; REVIEW; SIGNAL PROCESSING; STANDARD; VISION;

BRAIN; COMPUTERS; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EVOKED POTENTIALS, VISUAL; HUMANS; MENTAL PROCESSES; PHOTIC STIMULATION; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; USER-COMPUTER INTERFACE; VISUAL PERCEPTION;

EID: 77951480577     PISSN: 16875265     EISSN: 16875273     Source Type: Journal    
DOI: 10.1155/2010/702357     Document Type: Review

References (72)

1. Wolpaw J. R., Birbaumer N., McFarland D. J., Pfurtscheller G., Vaughan T. M., Brain-computer interfaces for communication and control Clinical Neurophysiology 2002 113 6 767 791 (Pubitemid 34621187)
2. Bashashati A., Fatourechi M., Ward R. K., Birch G. E., A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals Journal of Neural Engineering 2007 4 2 R32 R57
3. Parini S., Maggi L., Turconi A. C., Andreoni G., A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication Computational Intelligence and Neuroscience 2009 2009 11
4. Herrmann C. S., Human EEG responses to 1100Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena Experimental Brain Research 2001 137 3-4 346 353
5. Pun T., Alecu T. I., Chanel G., Kronegg J., Voloshynovskiy S., Brain-computer interaction research at the Computer Vision and Multimedia Laboratory, University of Geneva IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 14 2 210 213 (Pubitemid 44150244)
6. Fisher R. S., Harding G., Erba G., Barkley G. L., Wilkins A., Photic- and pattern-induced seizures: a review for the epilepsy foundation of america working group Epilepsia 2005 46 9 1426 1441 (Pubitemid 43919483)
7. Wang Y., Gao X., Hong B., Jia C., Gao S., Brain-computer interfaces based on visual evoked potentials: feasibility of practical system designs IEEE Engineering in Medicine and Biology Magazine 2008 27 5 64 71
8. Odom J. V., Bach M., Barber C., Visual evoked potentials standard (2004) Documenta Ophthalmologica 2004 108 2 115 123 (Pubitemid 39140119)
9. Wu Z., Lai Y., Xia Y., Wu D., Yao D., Stimulator selection in SSVEP-based BCI Medical Engineering and Physics 2008 30 8 1079 1088
10. Regan D., Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine 1989 Amsterdam, The Netherlands Elsevier
11. Regan D., An effect of stimulus colour on average steady-state potentials evoked in man Nature 1966 210 5040 1056 1057
12. Calhoun G. L., McMillan G. R., EEG-based control for human-computer interaction Proceedings of the 3rd Annual Symposium on Human Interaction with Complex Systems (HICS 96) August 1996 Dayton, Ohio, USA 4 9
13. Cheng M., Gao S., An EEG-based cursor control system 1 Proceedings of the 1st Joint BMES/EMBS Conference 1999 669 669
14. Beverina F., Palmas G., Silvoni S., Piccione F., Giove S., User adaptive BCIs: SSVEP and P300 based interfaces PsychNology Journal 2003 1 331 354
15. Gao X., Xu D., Cheng M., Gao S., A BCI-based environmental controller for the motion-disabled IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003 11 2 137 140 (Pubitemid 36935041)
16. Kelly S. P., Lalor E., Finucane C., Reilly R. B., A comparison of covert and overt attention as a control option in a steady-state visual eyoked potential-based brain computer interface 2 Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 04) September 2004 San Francisco, Calif, USA 4725 4728
17. Huang M., Wu P., Liu Y., Bi L., Chen H., Application and contrast in brain-computer interface Between hilbert-huang transform and wavelet transform Proceedings of the 9th International Conference for Young Computer Scientists (ICYCS 08) November 2008 1706 1710
18. Cheng M., Gao X., Gao S., Xu D., Multiple color stimulus induced steady state visual evoked potentials 2 Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 01) October 2001 Istanbul, Turkey 1012 1014
19. Maggi L., Parini S., Piccini L., Panfili G., Andreoni G., A four command BCI system based on the SSVEP protocol Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 06) August 2006 New York, NY, USA 1264 1267
20. Piccini L., Parini S., Maggi L., Andreoni G., A wearable home BCI system: preliminary results with SSVEP protocol 7 Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 05) September 2005 Shanghai, China 5384 5387
21. Lth T., Ojdani D., Friman O., Prenzel O., Grser A., Low level control in a semi-autonomous rehabilitation robotic system via a brain-computer interface Proceedings of the 10th IEEE International Conference on Rehabilitation Robotics (ICORR 07) June 2007 721 728
22. Valbuena D., Cyriacks M., Friman O., Volosyak I., Grser A., Brain-computer interface for high-level control of rehabilitation robotic systems Proceedings of the 10th IEEE International Conference on Rehabilitation Robotics (ICORR 07) June 2007 619 625
23. Leow R. S., Ibrahim F., Moghavvemi M., Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system Proceedings of the International Conference on Intelligent and Advanced Systems (ICIAS 07) November 2007 Kuala Lumpur, Malaysia 321 324
24. Materka A., Byczuk M., Using comb filter to enhance SSVEP for BCI applications Proceedings of the 3rd International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 06) July 2006 Glasgow, UK 33 36
25. Garcia Molina G., High frequency SSVEPs for BCI applications Brain-Computer Interfaces for HCI and Games 2008
26. Materka A., Byczuk M., Poryzala P., A virtual keypad based on alternate half-field stimulated visual evoked potentials Proceedings of the International Symposium on Information Technology Convergence 2007 296 300
27. Materka A., Byczuk M., Alternate half-field stimulation technique for SSVEP-based brain-computer interfaces Electronics Letters 2006 42 6 321 322
28. Bin G., Lin Z., Gao X., Hong B., Gao S., The SSVEP topographic scalp maps by canonical correlation analysis Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 08) August 2008 Vancouver, Canada 3759 3762
29. Wu Z., Yao D., Frequency detection with stability coefficient for steady-state visual evoked potential (SSVEP)-based BCIs Journal of Neural Engineering 2008 5 1 36 43 (Pubitemid 351366601)
30. Mller-Putz G. R., Eder E., Wriessnegger S. C., Pfurtscheller G., Comparison of DFT and lock-in amplifier features and search for optimal electrode positions in SSVEP-based BCI Journal of Neuroscience Methods 2008 168 1 174 181
31. Mller-Putz G. R., Pfurtscheller G., Control of an electrical prosthesis with an SSVEP-based BCI IEEE Transactions on Biomedical Engineering 2008 55 1 361 364 (Pubitemid 350308399)
32. Scherer R., Mller-Putz G. R., Pfurtscheller G., Self-initiation of EEG-based brain-computer communication using the heart rate response Journal of Neural Engineering 2007 4 4 L23 L29
33. Jia C., Xu H., Hong B., Gao X., Zhang Z., Gao S., A human computer interface using SSVEP-based BCI technology 4565 Proceedings of the 3rd International Conference on Foundations of Augmented Cognition July 2007 Beijing, China 113 119 Lecture Notes in Computer Science
34. Friman O., Volosyak I., Grser A., Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces IEEE Transactions on Biomedical Engineering 2007 54 4 742 750 (Pubitemid 46469933)
35. Friman O., Lth T., Volosyak I., Grser A., Spelling with steady-state visual evoked potentials Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering May 2007 354 357
36. Mller-Putz G. R., Scherer R., Brauneis C., Pfurtscheller G., Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components Journal of Neural Engineering 2005 2 4 123 130 (Pubitemid 41740530)
37. Wang Y., Zhang Z., Gao X., Gao S., Lead selection for SSVEP-based brain-computer interface 2 Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 04) 2004 San Francisco, Calif, USA 4507 4510
38. Wang Y., Wang R., Gao X., Gao S., Brain-computer interface based on the high-frequency steady-state visual evoked potential Proceedings of the 1st International Conference on Neural Interface and Control May 2005 37 39
39. Ruen S. L., Ibrahim F., Moghavvemi M., Assessment of steady-state visual evoked potential for brain computer communication Proceedings of the 3rd Kuala Lumpur International Conference on Biomedical Engineering 2007 352 354
40. Ren R., Bin G., Gao X., Idle state detection in SSVEP-based brain-computer interfaces Proceedings of the 2nd International Conference on Bioinformatics and Biomedical Engineering May 2008 Shanghai, China 2012 2015
41. Touyama H., Hirose M., Brain computer interface via stereoscopic images in CAVE 4557 Proceedings of the Symposium on Human Interface July 2007 1004 1007 Lecture Notes in Computer Science
42. Touyama H., Hirose M., Steady-state VEPs in CAVE for walking around the virtual world 4555 Proceedings of the 4th International Conference on Universal Access in Human-Computer Interaction July 2007 715 717 Lecture Notes in Computer Science
43. Cecotti H., Graeser A., Convolutional neural network with embedded fourier transform for EEG classification Proceedings of the 19th International Conference on Pattern Recognition (ICPR 08) December 2008 Tampa, Fla, USA 1 4
44. Kelly S. P., Lalor E., Reilly R. B., Foxe J. J., Independent brain computer interface control using visual spatial attention-dependent modulations of parieto-occipital alpha Proceedings of the 2nd International IEEE EMBS Conference on Neural Engineering March 2005 Arlington, Va, USA 667 670
45. Bin G., Gao X., Yan Z., Hong B., Gao S., An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method Journal of Neural Engineering 2009 6 4 6
46. Wang Y., Wang R., Gao X., Hong B., Gao S., A practical VEP-based brain-computer interface IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 14 2 234 239 (Pubitemid 44150250)
47. Nielsen K. D., Cabrera A. F., do Nascimento O. F., EEG based BCItowards a better control. Brain-computer interface research at Aalborg University IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 14 2 202 204
48. Kelly S. P., Lalor E. C., Reilly R. B., Foxe J. J., Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005 13 2 172 178
49. Kelly S. P., Lalor E. C., Finucane C., McDarby G., Reilly R. B., Visual spatial attention control in an independent brain-computer interface IEEE Transactions on Biomedical Engineering 2005 52 9 1588 1596
50. Wahnoun R., Saigal R., Gu Y., A realtime brain-computer interface based on steady-state visual evoked potentials Proceedings of the 7th Annual International Functional Electrical Stimulation Society Conference 2002
51. Cheng M., Gao X., Gao S., Xu D., Design and implementation of a brain-computer interface with high transfer rates IEEE Transactions on Biomedical Engineering 2002 49 10 1181 1186
52. Sami S., Nielsen K. D., Communication speed enhancement for visual based brain computer interfaces Proceedings of the 9th Annual Conference of the International FES Society 2004
53. Lin Z., Zhang C., Wu W., Gao X., Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs IEEE Transactions on Biomedical Engineering 2007 54 6 1172 1176
54. Kluge T., Hartmann M., Phase coherent detection of steady-state evoked potentials: experimental results and application to brain-computer interfaces Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering May 2007 425 429
55. Trejo L. J., Rosipal R., Matthews B., 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 IEEE Transactions on Neural Systems and Rehabilitation Engineering 2006 14 2 225 229 (Pubitemid 44150248)
56. Lalor E. C., Kelly S. P., Finucane C., Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment Eurasip Journal on Applied Signal Processing 2005 2005 19 3156 3164 (Pubitemid 44796389)
57. Vasquez P. M., Bakardjian H., Vallverdu M., Cichocki A., Fast multi-command SSVEP brain machine interface without training Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 08) September 2008 300 307
58. Oehler M., Neumann P., Becker M., Curio G., Schilling M., Extraction of SSVEP signals of a capacitive EEG helmet for human machine interface Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 08) 2008 4495 4498
59. Martinez P., Bakardjian H., Cichocki A., Multi-command real-time brain machine interface using SSVEP: feasibility study for occipital and forehead sensor locations Advances in Cognitive Neurodynamics 2008 783 786
60. Martinez P., Bakardjian H., Cichocki A., Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm Computational Intelligence and Neuroscience 2007 2007 9
61. Krusienski D. J., Allison B. Z., Harmonic coupling of steady-state visual evoked potentials Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 08) August 2008 Vancouver, Canada 5037 5040
62. Allison B. Z., McFarland D. J., Schalk G., Zheng S. D., Jackson M. M., Wolpaw J. R., Towards an independent brain-computer interface using steady state visual evoked potentials Clinical Neurophysiology 2008 119 2 399 408
63. Bakardjian H., Martinez P., Cichocki A., Dynamic online target control of SSVEP-based brain computer interface with multiple commands Neuroscience Research 2007 58 S70
64. Mukesh T. M. S., Jaganathan V., Reddy M. R., A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces Physiological Measurement 2006 27 1 61 71
65. Jaganathan V., Mukesh T. M. S., Reddy M. R., Design and implementation of high performance visual stimulator for brain computer interfaces 7 Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 05) September 2005 Shanghai, China 5381 5383
66. Lalor E., Kelly S. P., Finucane C., Burke R., Reilly R. B., McDarby G., Brain computer interface based on the steady-state VEP for immersive gaming control Biomedizinsche Tecknik 2004 49 63 64
67. Sugiarto I., Allison B., Grser A., Optimization strategy for SSVEP-based BCI in spelling program application 1 Proceedings of the International Conference on Computer Engineering and Technology (ICCET 09) January 2009 Singapore 223 226
68. Arakawa K., Tobimatsu S., Tomoda H., Kira J.-I., Kato M., The effect of spatial frequency on chromatic and achromatic steady-state visual evoked potentials Clinical Neurophysiology 1999 110 11 1959 1964
69. Mller M. M., Malinowski P., Gruber T., Hillyard S. A., Sustained division of the attentional spotlight Nature 2003 424 6946 309 312
70. Chen Y., Seth A. K., Gally J. A., Edelman G. M., The power of human brain magnetoencephalographic signals can be modulated up or down by changes in an attentive visual task Proceedings of the National Academy of Sciences of the United States of America 2003 100 6 3501 3506
71. Mller M. M., Andersen S., Trujillo N. J., Valds-Sosa P., Malinowski P., Hillyard S. A., Feature-selective attention enhances color signals in early visual areas of the human brain Proceedings of the National Academy of Sciences of the United States of America 2006 103 38 14250 14254
72. di Russo F., Teder-Slejrvi W. A., Hillyard S. A., The Cognitive Electrophysiology of Mind and Brain 2002 Amsterdam, The Netherlands Elsevier