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Toward functioning and usable brain-computer interfaces (BCIs): a literature review.

  1. Swartz Barbara E., The advantages of digital over analog recording techniques, 10.1016/s0013-4694(97)00113-2
  2. Vidal J J, Toward Direct Brain-Computer Communication, 10.1146/annurev.bb.02.060173.001105
  3. Wolpaw J.R., Birbaumer N., Heetderks W.J., McFarland D.J., Peckham P.H., Schalk G., Donchin E., Quatrano L.A., Robinson C.J., Vaughan T.M., Brain-computer interface technology: a review of the first international meeting, 10.1109/tre.2000.847807
  4. Lebedev Mikhail A., Nicolelis Miguel A.L., Brain–machine interfaces: past, present and future, 10.1016/j.tins.2006.07.004
  5. Wolpaw Jonathan R, Birbaumer Niels, McFarland Dennis J, Pfurtscheller Gert, Vaughan Theresa M, Brain–computer interfaces for communication and control, 10.1016/s1388-2457(02)00057-3
  6. Weiskopf Nikolaus, Veit Ralf, Erb Michael, Mathiak Klaus, Grodd Wolfgang, Goebel Rainer, Birbaumer Niels, Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data, 10.1016/s1053-8119(03)00145-9
  7. Hinterberger T., Weiskopf N., Veit R., Wilhelm B., Betta E., Birbaumer N., An EEG-Driven Brain-Computer Interface Combined With Functional Magnetic Resonance Imaging (fMRI), 10.1109/tbme.2004.827069
  8. Weiskopf Nikolaus, Scharnowski Frank, Veit Ralf, Goebel Rainer, Birbaumer Niels, Mathiak Klaus, Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI), 10.1016/j.jphysparis.2005.09.019
  9. Sitaram R, Comput Intell Neurosci, 25487 (2007)
  10. Mellinger Jürgen, Schalk Gerwin, Braun Christoph, Preissl Hubert, Rosenstiel Wolfgang, Birbaumer Niels, Kübler Andrea, An MEG-based brain–computer interface (BCI), 10.1016/j.neuroimage.2007.03.019
  11. Sitaram Ranganatha, Zhang Haihong, Guan Cuntai, Thulasidas Manoj, Hoshi Yoko, Ishikawa Akihiro, Shimizu Koji, Birbaumer Niels, Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface, 10.1016/j.neuroimage.2006.11.005
  12. Birbaumer Niels, Brain–computer-interface research: Coming of age, 10.1016/j.clinph.2005.11.002
  13. Birbaumer Niels, Breaking the silence: Brain?computer interfaces (BCI) for communication and motor control, 10.1111/j.1469-8986.2006.00456.x
  14. Pfurtscheller G., Muller-Putz G.R., Schlogl A., Graimann B., Scherer R., Leeb R., Brunner C., Keinrath C., Lee F., Townsend G., Vidaurre C., Neuper C., 15 Years of BCI Research at Graz University of Technology: Current Projects, 10.1109/tnsre.2006.875528
  15. Daly Janis J, Wolpaw Jonathan R, Brain–computer interfaces in neurological rehabilitation, 10.1016/s1474-4422(08)70223-0
  16. Mak J.N., Wolpaw J.R., Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects, 10.1109/rbme.2009.2035356
  17. Beverina F, Psychn J, 1, 331 (2003)
  18. Popescu Florin, Fazli Siamac, Badower Yakob, Blankertz Benjamin, Müller Klaus-R., Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes, 10.1371/journal.pone.0000637
  19. Gargiulo Gaetano, Calvo Rafael A., Bifulco Paolo, Cesarelli Mario, Jin Craig, Mohamed Armin, van Schaik André, A new EEG recording system for passive dry electrodes, 10.1016/j.clinph.2009.12.025
  20. Luo An, Sullivan Thomas J, A user-friendly SSVEP-based brain–computer interface using a time-domain classifier, 10.1088/1741-2560/7/2/026010
  21. Plum F, Posner JB. The diagnosis of stupor and coma. Philadelphia: FA Davis; 1966.
  22. Hinterberger Thilo, Veit Ralf, Wilhelm Barbara, Weiskopf Nikolaus, Vatine Jean-Jacques, Birbaumer Niels, Neuronal mechanisms underlying control of a brain-computer interface, 10.1111/j.1460-9568.2005.04092.x
  23. Jones Keith S., Middendorf Matthew, McMillan Grant R., Calhoun Gloria, Warm Joel, Comparing mouse and steady-state visual evoked response-based control, 10.1016/s0953-5438(03)00052-3
  24. Wolpaw J.R., McFarland D.J., Vaughan T.M., Brain-computer interface research at the Wadsworth Center, 10.1109/86.847823
  25. Farwell L.A., Donchin E., Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials, 10.1016/0013-4694(88)90149-6
  26. Donchin E., Spencer K.M., Wijesinghe R., The mental prosthesis: assessing the speed of a P300-based brain-computer interface, 10.1109/86.847808
  27. Birbaumer Niels, slow Cortical Potentials: Plasticity, Operant Control, and Behavioral Effects, 10.1177/107385849900500211
  28. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kübler A., Perelmouter J., Taub E., Flor H., A spelling device for the paralysed, 10.1038/18581
  29. Kübler Andrea, Neumann Nicola, Kaiser Jochen, Kotchoubey Boris, Hinterberger Thilo, Birbaumer Niels P., Brain-computer communication: Self-regulation of slow cortical potentials for verbal communication, 10.1053/apmr.2001.26621
  30. Neumann N., Kubler A., Training locked-in patients: a challenge for the use of brain~computer interfaces, 10.1109/tnsre.2003.814431
  31. Hinterberger T., Birbaumer N., Flor H., Assessment of cognitive function and communication ability in a completely locked-in patient, 10.1212/01.wnl.0000156910.32995.f4
  32. Iversen IH, Ghanayim N, Kübler A, Neumann N, Birbaumer N, Kaiser J, Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology, 10.1186/1744-9081-4-53
  33. Iversen I.H., Ghanayim N., Kübler A., Neumann N., Birbaumer N., J. Kaiser, A brain–computer interface tool to assess cognitive functions in completely paralyzed patients with amyotrophic lateral sclerosis, 10.1016/j.clinph.2008.07.001
  34. Neumann Nicola, Kübler Andrea, Kaiser Jochen, Hinterberger Thilo, Birbaumer Niels, Conscious perception of brain states: mental strategies for brain–computer communication, 10.1016/s0028-3932(02)00298-1
  35. Klem GH, Electroencephalogr Clin Neurophysiol Suppl, 52, 3 (1999)
  36. Hinterberger Thilo, Neumann Nicola, Pham Mirko, K�bler Andrea, Grether Anke, Hofmayer Nadine, Wilhelm Barbara, Flor Herta, Birbaumer Niels, A multimodal brain-based feedback and communication system, 10.1007/s00221-003-1690-3
  37. Pham Mirko, Hinterberger Thilo, Neumann Nicola, Kübler Andrea, Hofmayer Nadine, Grether Anke, Wilhelm Barbara, Vatine Jean-Jacques, Birbaumer Niels, An Auditory Brain-Computer Interface Based on the Self-Regulation of Slow Cortical Potentials, 10.1177/1545968305277628
  38. Hinterberger Thilo, Kübler Andrea, Kaiser Jochen, Neumann Nicola, Birbaumer Niels, A brain–computer interface (BCI) for the locked-in: comparison of different EEG classifications for the thought translation device, 10.1016/s1388-2457(02)00411-x
  39. Bostanov V., BCI Competition 2003—Data Sets Ib and IIb: Feature Extraction From Event-Related Brain Potentials With the Continuous Wavelet Transform and the<tex>$hboxtt t$</tex>-Value Scalogram, 10.1109/tbme.2004.826702
  40. Mensh B.D., Werfel J., Seung H.S., BCI Competition 2003—Data Set Ia: Combining Gamma-Band Power With Slow Cortical Potentials to Improve Single-Trial Classification of Electroencephalographic Signals, 10.1109/tbme.2004.827081
  41. Kübler Andrea, Neumann Nicola, Wilhelm Barbara, Hinterberger Thilo, Birbaumer Niels, Predictability of Brain-Computer Communication, 10.1027/0269-8803.18.23.121
  42. Neumann N, Hinterberger T, Kaiser J, Leins U, Birbaumer N, Kübler A, Automatic processing of self-regulation of slow cortical potentials: evidence from brain-computer communication in paralysed patients, 10.1016/j.clinph.2003.10.030
  43. Neumann N, Predictors of successful self control during brain-computer communication, 10.1136/jnnp.74.8.1117
  44. Birbaumer Niels, Cohen Leonardo G., Brain-computer interfaces: communication and restoration of movement in paralysis : Communication and restoration of movement in paralysis, 10.1113/jphysiol.2006.125633
  45. Pfurtscheller G, Guger C, Müller G, Krausz G, Neuper C, Brain oscillations control hand orthosis in a tetraplegic, 10.1016/s0304-3940(00)01471-3
  46. Wolpaw J.R., McFarland D.J., Vaughan T.M., Schalk G., The wadsworth center brain-computer interface (bci) research and development program, 10.1109/tnsre.2003.814442
  47. Wolpaw Jonathan R., McFarland Dennis J., Neat Gregory W., Forneris Catherine A., An EEG-based brain-computer interface for cursor control, 10.1016/0013-4694(91)90040-b
  48. Miner Laurie A., McFarland Dennis J., Wolpaw Jonathan R., Answering questions with an electroencephalogram-based brain-computer interface, 10.1016/s0003-9993(98)90165-4
  49. Schalk G., McFarland D.J., Hinterberger T., Birbaumer N., Wolpaw J.R., BCI2000: A General-Purpose Brain-Computer Interface (BCI) System, 10.1109/tbme.2004.827072
  50. Mellinger J, Towards Brain-Computer Interfacing (2007)
  51. McFarland Dennis J., Krusienski Dean J., Wolpaw Jonathan R., Brain–computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms, Progress in Brain Research (2006) ISBN:9780444521835 p.411-419, 10.1016/s0079-6123(06)59026-0
  52. Goncharova I.I, McFarland D.J, Vaughan T.M, Wolpaw J.R, EMG contamination of EEG: spectral and topographical characteristics, 10.1016/s1388-2457(03)00093-2
  53. McFarland Dennis J., Lefkowicz A. Todd, Wolpaw Jonathan R., Design and operation of an EEG-based brain-computer interface with digital signal processing technology, 10.3758/bf03200585
  54. McFarland Dennis J., Sarnacki William A., Vaughan Theresa M., Wolpaw Jonathan R., Brain-computer interface (BCI) operation: signal and noise during early training sessions, 10.1016/j.clinph.2004.07.004
  55. McFarland Dennis J., Wolpaw Jonathan R., 10.1023/a:1024685214655
  56. McFarland Dennis J, Sarnacki William A, Wolpaw Jonathan R, Brain–computer interface (BCI) operation: optimizing information transfer rates, 10.1016/s0301-0511(03)00073-5
  57. Dal Seno B., Matteucci M., Mainardi L.T., The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces, 10.1109/tnsre.2009.2032642
  58. Schalk Gerwin, Wolpaw Jonathan R, McFarland Dennis J, Pfurtscheller Gert, EEG-based communication: presence of an error potential, 10.1016/s1388-2457(00)00457-0
  59. McFarland D.J., Wolpaw J.R., Sensorimotor Rhythm-Based Brain–Computer Interface (BCI): Feature Selection by Regression Improves Performance, 10.1109/tnsre.2005.848627
  60. Krusienski Dean J., Schalk Gerwin, McFarland Dennis J., Wolpaw Jonathan R., A $\mu $-Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface, 10.1109/tbme.2006.886661
  61. Brunner Clemens, Graimann Bernhard, Huggins Jane E., Levine Simon P., Pfurtscheller Gert, Phase relationships between different subdural electrode recordings in man, 10.1016/j.neulet.2004.11.052
  62. Pfurtscheller Gert, Müller Gernot R, Pfurtscheller Jörg, Gerner Hans Jürgen, Rupp Rüdiger, ‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia, 10.1016/s0304-3940(03)00947-9
  63. Pfurtscheller G., Neuper C., Guger C., Harkam W., Ramoser H., Schlogl A., Obermaier B., Pregenzer M., Current trends in Graz brain-computer interface (BCI) research, 10.1109/86.847821
  64. Pfurtscheller G., Brunner C., Schlögl A., Lopes da Silva F.H., Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks, 10.1016/j.neuroimage.2005.12.003
  65. Bai Ou, Lin Peter, Vorbach Sherry, Floeter Mary Kay, Hattori Noriaki, Hallett Mark, A high performance sensorimotor beta rhythm-based brain–computer interface associated with human natural motor behavior, 10.1088/1741-2560/5/1/003
  66. Huang Dandan, Lin Peter, Fei Ding-Yu, Chen Xuedong, Bai Ou, Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control, 10.1088/1741-2560/6/4/046005
  67. Keinrath Claudia, Wriessnegger Selina, Müller-Putz Gernot R., Pfurtscheller Gert, Post-movement beta synchronization after kinesthetic illusion, active and passive movements, 10.1016/j.ijpsycho.2006.06.001
  68. Müller-Putz Gernot R., Zimmermann Doris, Graimann Bernhard, Nestinger Kurt, Korisek Gerd, Pfurtscheller Gert, Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients, 10.1016/j.brainres.2006.12.052
  69. Pineda J.A., Silverman D.S., Vankov A., Hestenes J., Learning to control brain rhythms: making a brain-computer interface possible, 10.1109/tnsre.2003.814445
  70. Rizzolatti Giacomo, Craighero Laila, THE MIRROR-NEURON SYSTEM, 10.1146/annurev.neuro.27.070203.144230
  71. Pineda J.A., Allison B.Z., Vankov A., The effects of self-movement, observation, and imagination on μ rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI), 10.1109/86.847822
  72. Cheng Ming, Jia Wenyan, Gao Xiaorong, Gao Shangkai, Yang Fusheng, Mu rhythm-based cursor control: an offline analysis, 10.1016/j.clinph.2003.11.038
  73. Lemm S., Schafer C., Curio G., BCI Competition 2003—Data Set III: Probabilistic Modeling of Sensorimotor<tex>$mu$</tex>Rhythms for Classification of Imaginary Hand Movements, 10.1109/tbme.2004.827076
  74. Chen Chih-Wei, Lin Chou-Ching K., Ju Ming-Shaung, Detecting movement-related EEG change by wavelet decomposition-based neural networks trained with single thumb movement, 10.1016/j.clinph.2006.12.008
  75. Chen Chih-Wei, Ju Ming-Shaung, Sun Yun-Nien, Lin Chou-Ching K., Model analyses of visual biofeedback training for EEG-based brain-computer interface, 10.1007/s10827-009-0148-4
  76. Fatourechi M, Ward R K, Birch G E, A self-paced brain–computer interface system with a low false positive rate, 10.1088/1741-2560/5/1/002
  77. Pfurtscheller G, Front Neurosci, 4, 30 (2010)
  78. Pfurtscheller G, Solis-Escalante T, Ortner R, Linortner P, Muller-Putz G R, Self-Paced Operation of an SSVEP-Based Orthosis With and Without an Imagery-Based “Brain Switch:” A Feasibility Study Towards a Hybrid BCI, 10.1109/tnsre.2010.2040837
  79. Allison B Z, Brunner C, Kaiser V, Müller-Putz G R, Neuper C, Pfurtscheller G, Toward a hybrid brain–computer interface based on imagined movement and visual attention, 10.1088/1741-2560/7/2/026007
  80. Li Yuanqing, Long Jinyi, Yu Tianyou, Yu Zhuliang, Wang Chuanchu, Zhang Haihong, Guan Cuntai, An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential, 10.1109/tbme.2010.2055564
  81. Vidal J.J., Real-time detection of brain events in EEG, 10.1109/proc.1977.10542
  82. Sutter Erich E., The brain response interface: communication through visually-induced electrical brain responses, 10.1016/0745-7138(92)90045-7
  83. Lee Po-Lei, Hsieh Jen-Chuen, Wu Chi-Hsun, Shyu Kuo-Kai, Wu Yu-Te, Brain computer interface using flash onset and offset visual evoked potentials, 10.1016/j.clinph.2007.11.013
  84. Guo Fei, Hong Bo, Gao Xiaorong, Gao Shangkai, A brain–computer interface using motion-onset visual evoked potential, 10.1088/1741-2560/5/4/011
  85. Hong Bo, Guo Fei, Liu Tao, Gao Xiaorong, Gao Shangkai, N200-speller using motion-onset visual response, 10.1016/j.clinph.2009.06.026
  86. Liu Tao, Goldberg Leslie, Gao Shangkai, Hong Bo, An online brain–computer interface using non-flashing visual evoked potentials, 10.1088/1741-2560/7/3/036003
  87. Yoshimura N, Electromyogr Clin Neurophysiol, 48, 43 (2008)
  88. Yoshimura N, Electromyogr Clin Neurophysiol, 49, 323 (2009)
  89. Allison Brendan Z., McFarland Dennis J., Schalk Gerwin, Zheng Shi Dong, Jackson Melody Moore, Wolpaw Jonathan R., Towards an independent brain–computer interface using steady state visual evoked potentials, 10.1016/j.clinph.2007.09.121
  90. Vialatte François-Benoît, Maurice Monique, Dauwels Justin, Cichocki Andrzej, Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives, 10.1016/j.pneurobio.2009.11.005
  91. Middendorf M., McMillan G., Calhoun G., Jones K.S., Brain-computer interfaces based on the steady-state visual-evoked response, 10.1109/86.847819
  92. Fitts Paul M., The information capacity of the human motor system in controlling the amplitude of movement., 10.1037/h0055392
  93. Fitts Paul M., Peterson James R., Information capacity of discrete motor responses., 10.1037/h0045689
  94. Ming Cheng, Xiaorong Gao, Shangkai Gao, Dingfeng Xu, Design and implementation of a brain-computer interface with high transfer rates, 10.1109/tbme.2002.803536
  95. Xiaorong Gao, Dingfeng Xu, Ming Cheng, Shangkai Gao, A bci-based environmental controller for the motion-disabled, 10.1109/tnsre.2003.814449
  96. Zhang Dan, Maye Alexander, Gao Xiaorong, Hong Bo, Engel Andreas K, Gao Shangkai, An independent brain–computer interface using covert non-spatial visual selective attention, 10.1088/1741-2560/7/1/016010
  97. Nielsen K.D., Cabrera A.F., Do Nascimento O.F., EEG Based BCI—Towards a Better Control. Brain-Computer Interface Research at Aalborg University, 10.1109/tnsre.2006.875529
  98. Wang Y., Wang R., Gao X., Hong B., Gao S., A Practical VEP-Based Brain–Computer Interface, 10.1109/tnsre.2006.875576
  99. Lin Zhonglin, Zhang Changshui, Wu Wei, Gao Xiaorong, Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs, 10.1109/tbme.2006.886577
  100. Lin Zhonglin, Zhang Changshui, Wu Wei, Gao Xiaorong, Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs, 10.1109/tbme.2006.889197
  101. Bin Guangyu, Gao Xiaorong, Yan Zheng, Hong Bo, Gao Shangkai, An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method, 10.1088/1741-2560/6/4/046002
  102. Friman Ola, Volosyak Ivan, Graser Axel, Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, 10.1109/tbme.2006.889160
  103. Müller-Putz Gernot R, Scherer Reinhold, Brauneis Christian, Pfurtscheller Gert, Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components, 10.1088/1741-2560/2/4/008
  104. Müller-Putz Gernot R., Eder Evelin, Wriessnegger Selina C., Pfurtscheller Gert, Comparison of DFT and lock-in amplifier features and search for optimal electrode positions in SSVEP-based BCI, 10.1016/j.jneumeth.2007.09.024
  105. Mukesh T M Srihari, Jaganathan V, Reddy M Ramasubba, A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces, 10.1088/0967-3334/27/1/006
  106. Shyu Kuo-Kai, Lee Po-Lei, Liu Yu-Ju, Sie Jyun-Jie, Dual-frequency steady-state visual evoked potential for brain computer interface, 10.1016/j.neulet.2010.07.043
  107. Muller-Putz G.R., Scherer R., Neuper C., Pfurtscheller G., Steady-State Somatosensory Evoked Potentials: Suitable Brain Signals for Brain–Computer Interfaces?, 10.1109/tnsre.2005.863842
  108. Muller-Putz G.R., Pfurtscheller G., Control of an Electrical Prosthesis With an SSVEP-Based BCI, 10.1109/tbme.2007.897815
  109. 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, 10.1109/tnsre.2005.847369
  110. Kelly S.P., Lalor E.C., Finucane C., McDarby G., Reilly R.B., Visual Spatial Attention Control in an Independent Brain-Computer Interface, 10.1109/tbme.2005.851510
  111. 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, 10.1109/tnsre.2006.875578
  112. Allison Brendan, Luth Thorsten, Valbuena Diana, Teymourian Amir, Volosyak Ivan, Graser Axel, BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?, 10.1109/tnsre.2009.2039495
  113. Bakardjian Hovagim, Tanaka Toshihisa, Cichocki Andrzej, Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface, 10.1016/j.neulet.2009.11.039
  114. Wu Zhenghua, Lai Yongxiu, Xia Yang, Wu Dan, Yao Dezhong, Stimulator selection in SSVEP-based BCI, 10.1016/j.medengphy.2008.01.004
  115. Wu Zhenghua, Yao Dezhong, Frequency detection with stability coefficient for steady-state visual evoked potential (SSVEP)-based BCIs, 10.1088/1741-2560/5/1/004
  116. Parini S, Comput Intell Neurosci, 864564 (2009)
  117. Martinez P, Comput Intell Neurosci, 94561 (2007)
  118. Lee Po-Lei, Sie Jyun-Jie, Liu Yu-Ju, Wu Chi-Hsun, Lee Ming-Huan, Shu Chih-Hung, Li Po-Hung, Sun Chia-Wei, Shyu Kuo-Kai, An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System, 10.1007/s10439-010-9964-y
  119. Gollee H, Volosyak I, McLachlan A J, Hunt K J, Gräser A, An SSVEP-Based Brain–Computer Interface for the Control of Functional Electrical Stimulation, 10.1109/tbme.2010.2043432
  120. Sellers Eric W., Donchin Emanuel, A P300-based brain–computer interface: Initial tests by ALS patients, 10.1016/j.clinph.2005.06.027
  121. Fabiani M, Adv Psychophysiol, 2, 78 (1987)
  122. Polich John, Alexander Joel E., Bauer Lance O., Kuperman Samuel, Morzorati Sandra, O'Connor Sean J., Porjesz Bernice, Rohrbaugh J., Begleiter Henri, P300 topography of amplitude/latency correlations, 10.1007/bf01464482
  123. Linden David E. J., The P300: Where in the Brain Is It Produced and What Does It Tell Us?, 10.1177/1073858405280524
  124. Ludowig Eva, Bien Christian G., Elger Christian E., Rosburg Timm, Two P300 generators in the hippocampal formation, 10.1002/hipo.20603
  125. Guger Christoph, Daban Shahab, Sellers Eric, Holzner Clemens, Krausz Gunther, Carabalona Roberta, Gramatica Furio, Edlinger Guenter, How many people are able to control a P300-based brain–computer interface (BCI)?, 10.1016/j.neulet.2009.06.045
  126. Silvoni S, Front Neurosci, 3, 60 (2009)
  127. Brunner P, Joshi S, Briskin S, Wolpaw J R, Bischof H, Schalk G, Does the ‘P300’ speller depend on eye gaze?, 10.1088/1741-2560/7/5/056013
  128. Kleih S.C., Nijboer F., Halder S., Kübler A., Motivation modulates the P300 amplitude during brain–computer interface use, 10.1016/j.clinph.2010.01.034
  129. Nijboer F, Front Neurosci, 4 (2010)
  130. Nijboer F., Sellers E.W., Mellinger J., Jordan M.A., Matuz T., Furdea A., Halder S., Mochty U., Krusienski D.J., Vaughan T.M., Wolpaw J.R., Birbaumer N., Kübler A., A P300-based brain–computer interface for people with amyotrophic lateral sclerosis, 10.1016/j.clinph.2008.03.034
  131. Hill NJ, Advances in Neural Information Processing Systems, 569 (2005)
  132. Sellers, Kubler, Donchin, Brain–Computer Interface Research at the University of South Florida Cognitive Psychophysiology Laboratory: The P300 Speller, 10.1109/tnsre.2006.875580
  133. Nijboer Femke, Furdea Adrian, Gunst Ingo, Mellinger Jürgen, McFarland Dennis J., Birbaumer Niels, Kübler Andrea, An auditory brain–computer interface (BCI), 10.1016/j.jneumeth.2007.02.009
  134. Kübler Andrea, Furdea Adrian, Halder Sebastian, Hammer Eva Maria, Nijboer Femke, Kotchoubey Boris, A Brain-Computer Interface Controlled Auditory Event-Related Potential (P300) Spelling System for Locked-In Patients, 10.1111/j.1749-6632.2008.04122.x
  135. Furdea A., Halder S., Krusienski D.J., Bross D., Nijboer F., Birbaumer N., Kübler A., An auditory oddball (P300) spelling system for brain-computer interfaces, 10.1111/j.1469-8986.2008.00783.x
  136. Halder S., Rea M., Andreoni R., Nijboer F., Hammer E.M., Kleih S.C., Birbaumer N., Kübler A., An auditory oddball brain–computer interface for binary choices, 10.1016/j.clinph.2009.11.087
  137. Bayliss J.D., Ballard D.H., A virtual reality testbed for brain-computer interface research, 10.1109/86.847811
  138. Bayliss J.D., Use of the evoked potential p3 component for control in a virtual apartment, 10.1109/tnsre.2003.814438
  139. Bayliss Jessica D., Inverso Samuel A., Tentler Aleksey, Changing the P300 Brain Computer Interface, 10.1089/cpb.2004.7.694
  140. Vaughan T.M., Mcfarland D.J., Schalk G., Sarnacki W.A., Krusienski D.J., Sellers E.W., Wolpaw J.R., The Wadsworth BCI Research and Development Program: At Home With BCI, 10.1109/tnsre.2006.875577
  141. Allison B.Z., Pineda J.A., ERPs evoked by different matrix sizes: implications for a brain computer interface (bci) system, 10.1109/tnsre.2003.814448
  142. Sellers Eric W., Krusienski Dean J., McFarland Dennis J., Vaughan Theresa M., Wolpaw Jonathan R., A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance, 10.1016/j.biopsycho.2006.04.007
  143. Lenhardt A., Kaper M., Ritter H.J., An Adaptive P300-Based Online Brain–Computer Interface, 10.1109/tnsre.2007.912816
  144. Salimi-Khorshidi Gholamreza, Nasrabadi Ali Motie, Golpayegani Mohammadreza Hashemi, Fusion of classic P300 detection methods’ inferences in a framework of fuzzy labels, 10.1016/j.artmed.2008.06.002
  145. Haihong Zhang, Cuntai Guan, Chuanchu Wang, Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models, 10.1109/tbme.2008.919128
  146. Shijian Lu, Cuntai Guan, Haihong Zhang, Unsupervised Brain Computer Interface Based on Intersubject Information and Online Adaptation, 10.1109/tnsre.2009.2015197
  147. Rivet B., Souloumiac A., Attina V., Gibert G., xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface, 10.1109/tbme.2009.2012869
  148. Dal Seno B, Comput Intell Neurosci, 307254 (2010)
  149. BOSTANOV V, KOTCHOUBEY B, The t-CWT: A new ERP detection and quantification method based on the continuous wavelet transform and Student’s t-statistics, 10.1016/j.clinph.2006.08.012
  150. Jansen B.H., Allam A., Kota P., Lachance K., Osho A., Sundaresan K., An Exploratory Study of Factors Affecting Single Trial P300 Detection, 10.1109/tbme.2004.826684
  151. Thulasidas M., Guan C., Wu J., Robust Classification of EEG Signal for Brain–Computer Interface, 10.1109/tnsre.2005.862695
  152. Serby H., Yom-Tov E., Inbar G.F., An Improved P300-Based Brain-Computer Interface, 10.1109/tnsre.2004.841878
  153. Piccione F., Giorgi F., Tonin P., Priftis K., Giove S., Silvoni S., Palmas G., Beverina F., P300-based brain computer interface: Reliability and performance in healthy and paralysed participants, 10.1016/j.clinph.2005.07.024
  154. Krusienski D.J., Sellers E.W., McFarland D.J., Vaughan T.M., Wolpaw J.R., Toward enhanced P300 speller performance, 10.1016/j.jneumeth.2007.07.017
  155. Brouwer AM, Front Neurosci, 4, 19 (2010)
  156. Klobassa D.S., Vaughan T.M., Brunner P., Schwartz N.E., Wolpaw J.R., Neuper C., Sellers E.W., Toward a high-throughput auditory P300-based brain–computer interface, 10.1016/j.clinph.2009.04.019
  157. Katayama Jun'ichi, Polich John, P300 from one-, two-, and three-stimulus auditory paradigms, 10.1016/0167-8760(96)00030-x
  158. Schreuder Martijn, Blankertz Benjamin, Tangermann Michael, A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue, 10.1371/journal.pone.0009813
  159. Hoffmann Ulrich, Vesin Jean-Marc, Ebrahimi Touradj, Diserens Karin, An efficient P300-based brain–computer interface for disabled subjects, 10.1016/j.jneumeth.2007.03.005
  160. Citi L., Poli R., Cinel C., Sepulveda F., P300-Based BCI Mouse With Genetically-Optimized Analogue Control, 10.1109/tnsre.2007.913184
  161. Finke Andrea, Lenhardt Alexander, Ritter Helge, The MindGame: A P300-based brain–computer interface game, 10.1016/j.neunet.2009.07.003
  162. Mugler E, Int J Bioelectrom, 10, 56 (2008)
  163. Mugler Emily M, Ruf Carolin A, Halder Sebastian, Bensch Michael, Kubler Andrea, Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser, 10.1109/tnsre.2010.2068059
  164. Muenssinger JI, Front Neurosci, 4 (2010)
  165. Martens S M M, Hill N J, Farquhar J, Schölkopf B, Overlap and refractory effects in a brain–computer interface speller based on the visual P300 event-related potential, 10.1088/1741-2560/6/2/026003
  166. Salvaris M, Sepulveda F, Visual modifications on the P300 speller BCI paradigm, 10.1088/1741-2560/6/4/046011
  167. Salvaris Mathew, Sepulveda Francisco, Classification effects of real and imaginary movement selective attention tasks on a P300-based brain–computer interface, 10.1088/1741-2560/7/5/056004
  168. Takano Kouji, Komatsu Tomoaki, Hata Naoki, Nakajima Yasoichi, Kansaku Kenji, Visual stimuli for the P300 brain–computer interface: A comparison of white/gray and green/blue flicker matrices, 10.1016/j.clinph.2009.06.002
  169. Nam Chang S., Li Yueqing, Johnson Steve, Evaluation of P300-Based Brain-Computer Interface in Real-World Contexts, 10.1080/10447311003781326
  170. Piccione F, Psychn J, 6, 99 (2008)
  171. Townsend G., LaPallo B.K., Boulay C.B., Krusienski D.J., Frye G.E., Hauser C.K., Schwartz N.E., Vaughan T.M., Wolpaw J.R., Sellers E.W., A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns, 10.1016/j.clinph.2010.01.030
Bibliographic reference Pasqualotto, Emanuele ; Federici, Stefano ; Belardinelli, Marta Olivetti. Toward functioning and usable brain-computer interfaces (BCIs): a literature review.. In: Disability and rehabilitation. Assistive technology, Vol. 7, no. 2, p. 89-103 (2012)
Permanent URL http://hdl.handle.net/2078/114261