Birbaumer N, Cohen LG: Brain–computer interfaces: communication and restoration of movement in paralysis. J Physiol 2007, 579: 621-636. 10.1113/jphysiol.2006.125633
Article
CAS
PubMed
PubMed Central
Google Scholar
Kübler A, Kotchoubey B, Kaiser J, Wolpaw JR, Birbaumer N: Brain-computer communication: unlocking the locked in. Psychol Bull 2001, 127: 358-375.
Article
PubMed
Google Scholar
Wolpaw J, Wolpaw EW: Brain-Computer Interfaces: Principles and Practice. New York: Oxford University Press; 2012.
Book
Google Scholar
Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM: Brain-computer interfaces for communication and control. Clin Neurophysiol 2002, 113: 767-791. 10.1016/S1388-2457(02)00057-3
Article
PubMed
Google Scholar
Hoffmann U, Vesin J-M, Ebrahimi T, Diserens K: An efficient P300-based brain-computer interface for disabled subjects. J Neurosci Methods 2008, 167: 115-125. 10.1016/j.jneumeth.2007.03.005
Article
PubMed
Google Scholar
Holz EM, Kaufmann T, Desideri L, Malavasi M, Hoogerwerf E-J, Kübler A, Allison BZ, Dunne S, Leeb R, Del R, Millán J, Nijholt A: User Centred Design in BCI Development. In Towards Practical Brain-Computer Interfaces. Berlin, Heidelberg: Springer Berlin Heidelberg; 2012:155-172.
Chapter
Google Scholar
Kaufmann T, Schulz SM, Köblitz A, Renner G, Wessig C, Kübler A: Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease. Clin Neurophysiol 2012. . http://dx.doi.org/10.1016/j.clinph.2012.11.006
Google Scholar
Kübler A, Nijboer F, Mellinger J, Vaughan TM, Pawelzik H, Schalk G, McFarland DJ, Birbaumer N, Wolpaw JR: Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology 2005, 64: 1775-1777. 10.1212/01.WNL.0000158616.43002.6D
Article
PubMed
Google Scholar
Nijboer F, Sellers EW, Mellinger J, Jordan MA, Matuz T, Furdea A, Halder S, Mochty U, Krusienski DJ, Vaughan TM, et al.: A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clin Neurophysiol 2008, 119: 1909-1916. 10.1016/j.clinph.2008.03.034
Article
CAS
PubMed
PubMed Central
Google Scholar
Zickler C, Riccio A, Leotta F, Hillian-Tress S, Halder S, Holz E, Staiger-Sälzer P, Hoogerwerf E-J, Desideri L, Mattia D, Kübler A: A brain-computer interface as input channel for a standard assistive technology software. Clin EEG Neurosci 2011, 42: 236-244. 10.1177/155005941104200409
Article
PubMed
Google Scholar
Millán JR, Renkens F, Mourino J, Gerstner W: Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans Biomed Eng 2004, 51: 1026-1033. 10.1109/TBME.2004.827086
Article
Google Scholar
Philips J, Del R, Millán J, Vanacker G, Lew E, Galan F, Ferrez PW, Van Brussel H, Nuttin M IEEE 10th International Conference on Rehabilitation Robotics; ICORR 2007. IEEE. Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair 2007, 408-414.
Google Scholar
Brach JS, VanSwearingen J: Measuring fatigue related to facial muscle function. Arch Phys Med Rehabil 1995, 76: 905-908. 10.1016/S0003-9993(95)80064-6
Article
CAS
PubMed
Google Scholar
Pfurtscheller G, Neuper C: Motor imagery activates primary sensorimotor area in humans. Neurosci Lett 1997, 239: 65-68. 10.1016/S0304-3940(97)00889-6
Article
CAS
PubMed
Google Scholar
Pfurtscheller G, Neuper C, Flotzinger D, Pregenzer M: EEG-based discrimination between imagination of right and left hand movement. Electroencephalogr Clin Neurophysiol 1997, 103: 642-651. 10.1016/S0013-4694(97)00080-1
Article
CAS
PubMed
Google Scholar
Galán F, Nuttin M, Lew E, Ferrez PW, Vanacker G, Philips J, Millán JR: A brain-actuated wheelchair: asynchronous and non-invasive brain–computer interfaces for continuous control of robots. Clin Neurophysiol 2008, 119: 2159-2169. 10.1016/j.clinph.2008.06.001
Article
PubMed
Google Scholar
Hema CR, Paulraj MP, Yaacob S, Adom AH, Nagarajan R: Asynchronous brain machine interface-based control of a wheelchair. Adv Exp Med Biol 2011, 696: 565-572. 10.1007/978-1-4419-7046-6_57
Article
CAS
PubMed
Google Scholar
Leeb R, Friedman D, Müller-Putz GR, Scherer R, Slater M, Pfurtscheller G: Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic. Comput Intell Neurosci 2007, 2007: 1-8.
Article
Google Scholar
Lew E, Nuttin M, Ferrez PW, Degeest R, Buttfield A, Vanacker G, Millán JDR: Noninvasive brain-computer interface for mental control of a simulated wheelchair. In Book Noninvasive brain-computer interface for mental control of a simulated wheelchair. Graz City;Austria: Graz University of Technology; 2006.
Google Scholar
Huang D, Qian K, Fei D-Y, Jia W, Chen X, Bai O: Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control. IEEE Trans Neural Syst Rehabil Eng 2012, 20: 379-388.
Article
PubMed
Google Scholar
Pfurtscheller G, Leeb R, Keinrath C, Friedman D, Neuper C, Guger C, Slater M: Walking from thought. Brain Res 2006, 1071: 145-152. 10.1016/j.brainres.2005.11.083
Article
CAS
PubMed
Google Scholar
Tanaka K, Matsunaga K, Wang HO: Electroencephalogram-Based Control of an Electric Wheelchair. IEEE Trans Robot 2005, 21: 762-766.
Article
Google Scholar
Leeb R, Keinrath C, Friedman D, Guger C, Scherer R, Neuper C, Garau M, Antley A, Steed A, Slater M, Pfurtscheller G: Walking by thinking: the brainwaves are crucial, not the muscles! Presence: Teleoperators and Virtual Environ 2006, 15: 500-514.
Article
Google Scholar
Cincotti F, Kauhanen L, Aloise F, Palomaki T, Caporusso N, Jylanki P, Mattia D, Babiloni F, Vanacker G, Nuttin M, et al.: Vibrotactile feedback for brain-computer interface operation. Comput Intell Neurosci 2007, 2007: 48937. doi:10.1155/2007/48937
Article
PubMed Central
Google Scholar
Leeb R, Gwak K, Kim DS, Millán JR: Feel the BCI Vibe – Vibrotactile BCI Feedback. Monterey, USA: Fifth International Brain-Computer Interface Meeting 2013; 2013.
Google Scholar
Carlson T, Monnard G, Millán JR: Vision-based shared control for a BCI wheelchair. Int J Bioelectromagnetism 2011, 13: 20-21.
Google Scholar
Tonin L, Leeb R, Tavella M, Perdikis S, Millán JR Book The role of shared-control in BCI-based telepresence (Editor ed.^eds.). In The role of shared-control in BCI-based telepresence. City: IEEE; 2010:1462-1466. 1462–1466
Google Scholar
Vanacker G, Millán JR, Lew E, Ferrez PW, Moles FG, Philips J, Van Brussel H, Nuttin M: Context-based filtering for assisted brain-actuated wheelchair driving. Comput Intell Neurosci 2007, 2007: 1-12.
Article
Google Scholar
Thurlings ME, Erp JBF, Brouwer A-M, Werkhoven PJ: EEG-Based Navigation from a Human Factors Perspective. In Brain-Computer Interfaces. Edited by: Tan DS, Nijholt A. London: Springer; 2010:71-86. Human–Computer Interaction Series
Chapter
Google Scholar
Tsui CSL, Gan JQ, Hu H: A self-paced motor imagery based brain-computer interface for robotic wheelchair control. Clin EEG Neurosci 2011, 42: 225-229. 10.1177/155005941104200407
Article
PubMed
Google Scholar
Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller K-R, Curio G, Dickhaus T: Neurophysiological predictor of SMR-based BCI performance. Neuroimage 2010, 51: 1303-1309. 10.1016/j.neuroimage.2010.03.022
Article
PubMed
Google Scholar
Guger C, Daban S, Sellers E, Holzner C, Krausz G, Carabalona R, Gramatica F, Edlinger G: How many people are able to control a P300-based brain-computer interface (BCI)? Neurosci Lett 2009, 462: 94-98. 10.1016/j.neulet.2009.06.045
Article
CAS
PubMed
Google Scholar
Guger C, Edlinger G, Harkam W, Niedermayer I, Pfurtscheller G: How many people are able to operate an EEG-based brain-computer interface (BCI)? IEEE Trans Neural Syst Rehabil Eng 2003, 11: 145-147. 10.1109/TNSRE.2003.814481
Article
CAS
PubMed
Google Scholar
Halder S, Agorastos D, Veit R, Hammer EM, Lee S, Varkuti B, Bogdan M, Rosenstiel W, Birbaumer N, Kübler A: Neural mechanisms of brain-computer interface control. Neuroimage 2011, 55: 1779-1790. 10.1016/j.neuroimage.2011.01.021
Article
CAS
PubMed
Google Scholar
Hammer EM, Halder S, Blankertz B, Sannelli C, Dickhaus T, Kleih S, Müller K-R, Kübler A: Psychological predictors of SMR-BCI performance. Biol Psychol 2012, 89: 80-86. 10.1016/j.biopsycho.2011.09.006
Article
PubMed
Google Scholar
Sellers EW, Arbel Y, Donchin E: BCIs that use P300 Event-Related Potentials. In Wolpaw and Wolpaw (2012), Brain Computer Interfaces: Principles and Practice. Austria: Graz University of Technology; 2012.
Google Scholar
Sutton S, Braren M, Zubin J, John ER: Evoked-potential correlates of stimulus uncertainty. Science (New York, NY) 1965, 150: 1187-1188. 10.1126/science.150.3700.1187
Article
CAS
Google Scholar
Polich J: Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol 2007, 118: 2128-2148. 10.1016/j.clinph.2007.04.019
Article
PubMed
PubMed Central
Google Scholar
Farwell LA, Donchin E: Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 1988, 70: 510-523. 10.1016/0013-4694(88)90149-6
Article
CAS
PubMed
Google Scholar
Kaufmann T, Hammer EM, Kübler A Proceedings of the fifth international Brain–Computer Interface Conference. In ERPs contributing to classification in the P300 BCI. Graz, Austria; 2011:136-139.
Google Scholar
Fazel-Rezai R, Allison BZ, Guger C, Sellers EW, Kleih SC, Kubler A: P300 brain computer interface: current challenges and emerging trends. Front Neuroeng 2012, 5: 14.
Article
PubMed
PubMed Central
Google Scholar
Kleih SC, Kaufmann T, Zickler C, Halder S, Leotta F, Cincotti F, Aloise F, Riccio A, Herbert C, Mattia D, Kübler A: Out of the frying pan into the fire–the P300-based BCI faces real-world challenges. Prog Brain Res 2011, 194: 27-46.
Article
PubMed
Google Scholar
Mak JN, Arbel Y, Minett JW, McCane LM, Yuksel B, Ryan D, Thompson D, Bianchi L, Erdogmus D: Optimizing the P300-based brain-computer interface: current status, limitations and future directions. J Neural Eng 2011, 8: 025003. 10.1088/1741-2560/8/2/025003
Article
CAS
PubMed
Google Scholar
Rebsamen B, Guan C, Zhang H, Wang C, Teo C, Ang MH, Burdet E: A brain controlled wheelchair to navigate in familiar environments. IEEE Trans Neural Syst Rehabil Eng 2010, 18: 590-598.
Article
PubMed
Google Scholar
Bell CJ, Shenoy P, Chalodhorn R, Rao RPN: Control of a humanoid robot by a noninvasive brain–computer interface in humans. J Neural Eng 2008, 5: 214-220. 10.1088/1741-2560/5/2/012
Article
PubMed
Google Scholar
Pires G, Castelo-Branco M, Nunes U: Visual P300-based BCI to steer a wheelchair: a Bayesian approach. Conf Proc IEEE Eng Med Biol Soc 2008, 2008: 658-661.
PubMed
Google Scholar
Iturrate I, Antelis JM, Kübler A, Minguez J: A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Trans Robot 2009, 25: 614-627.
Article
Google Scholar
Escolano C, Antelis JM, Minguez J: A telepresence mobile robot controlled with a noninvasive brain #x2013; computer interface. IEEE Trans Syst Man Cybern B Cybern 2012, 42: 793-804.
Article
PubMed
Google Scholar
Long J, Li Y, Wang H, Yu T, Pan J, Li F: A hybrid brain computer interface to control the direction and speed of a simulated or real wheelchair. IEEE Trans Neural Syst Rehabil Eng 2012, 20: 720-729.
Article
PubMed
Google Scholar
Aloise F, Lasorsa I, Brouwer AM, Mattia D, Babiloni F, Salinari S, Marciani MG, Cincotti F: Multimodal stimulation for a P300-based BCI. Int J Bioelectromagnetism 2007, 9: 128-130.
Google Scholar
Diez PF, Torres Müller SM, Mut VA, Laciar E, Avila E, Bastos-Filho TF, Sarcinelli-Filho M: Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface. Med Eng Phys 2013,35(8):1155-1164. 10.1016/j.medengphy.2012.12.005
Article
PubMed
Google Scholar
Brouwer A-M, Van Erp JBF: A Tactile P300 Brain-Computer Interface. Front Neurosci 2010,19(4):4.
Google Scholar
Brouwer A-M, Van Erp JBF, Aloise F, Cincotti F: Tactile, visual, and bimodal P300s: could bimodal P300s boost BCI performance? SRX Neuroscience 2010, 2010: 1-9.
Article
Google Scholar
Thurlings ME, Van Erp JBF, Brouwer A-M, Blankertz B, Werkhoven P: Control-display mapping in brain-computer interfaces. Ergonomics 2012, 55: 564-580. 10.1080/00140139.2012.661085
Article
PubMed
Google Scholar
Kaufmann T, Holz EM, Kübler A: Comparison of tactile, auditory and visual modality for brain-computer interface use: A case study with a patient in the locked-in state. Front Neurosci 2013, 7: 129. doi:10.3389/fnins.2013.00129
Article
PubMed
PubMed Central
Google Scholar
Höhne J, Schreuder M, Blankertz B, Tangermann M: Two-dimensional auditory p300 speller with predictive text system. Conf Proc IEEE Eng Med Biol Soc 2010, 2010: 4185-4188.
PubMed
Google Scholar
Jin J, Allison BZ, Sellers EW, Brunner C, Horki P, Wang X, Neuper C: An adaptive P300-based control system. J Neural Eng 2011, 8: 036006. 10.1088/1741-2560/8/3/036006
Article
PubMed
PubMed Central
Google Scholar
Lenhardt A, Kaper M, Ritter HJ: An adaptive P300-based online brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 2008, 16: 121-130.
Article
PubMed
Google Scholar
Liu T, Goldberg L, Gao S, Hong B: An online brain–computer interface using non-flashing visual evoked potentials. J Neural Eng 2010, 7: 036003. 10.1088/1741-2560/7/3/036003
Article
PubMed
Google Scholar
Schreuder M, Rost T, Tangermann M: Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI. Front Neuroprosthetics 2011, 5: 112.
Google Scholar
Schreuder M, Höhne J, Blankertz B, Haufe S, Dickhaus T, Tangermann M: Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods. J Neural Eng 2013, 10: 036025. 10.1088/1741-2560/10/3/036025
Article
PubMed
Google Scholar
Schreuder M, Höhne J, Treder M, Blankertz B, Tangermann M: Performance optimization of ERP-based BCIs using dynamic stopping. Conf Proc IEEE Eng Med Biol Soc 2011, 2011: 4580-4583.
PubMed
Google Scholar
Maguire MC: User-Centred Requirements Handbook WP5 D53 of the Telematics Applications Project TE – RESPECT: Requirements Engineering and Specification in Telematics. 1998.
Google Scholar
Schalk G, McFarland DJ, Hinterberger T, Birbaumer N, Wolpaw JR: BCI2000: A general-purpose, brain-computer interface (BCI) system. IEEE Trans Biomed Eng 2004, 51: 1034-1043. 10.1109/TBME.2004.827072
Article
PubMed
Google Scholar
Oostenveld R, Fries P, Maris E, Schoffelen J-M: FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci 2011, 2011: 156869.
Article
PubMed
PubMed Central
Google Scholar
Donchin E: Discriminant analysis in average evoked response studies: the study of single trial data. Electroencephalogr Clin Neurophysiol 1969, 27: 311-314. 10.1016/0013-4694(69)90061-3
Article
CAS
PubMed
Google Scholar
Krusienski DJ, Sellers EW, McFarland DJ, Vaughan TM, Wolpaw JR: Toward enhanced P300 speller performance. J Neurosci Methods 2008, 167: 15-21. 10.1016/j.jneumeth.2007.07.017
Article
CAS
PubMed
PubMed Central
Google Scholar
Kaufmann T, Völker S, Gunesch L, Kübler A: Spelling is just a click away - a user-centered brain-computer interface including auto-calibration and predictive text entry. Front Neurosci 2012, 6: 72.
Article
PubMed
PubMed Central
Google Scholar
Choi K, Cichocki A: Control of a Wheelchair by Motor Imagery in Real Time. In Intelligent Data Engineering and Automated Learning – IDEAL 2008. Edited by: Fyfe C, Kim D, Lee S-Y, Yin H. Berlin Heidelberg: Springer; 2008:330-337. Lecture Notes in Computer Science
Chapter
Google Scholar
Scherer R, Lee F, Schlogl A, Leeb R, Bischof H, Pfurtscheller G: Toward self-paced brain-computer communication: navigation through virtual worlds. IEEE Trans Biomed Eng 2008, 55: 675-682.
Article
PubMed
Google Scholar
Jin J, Sellers EW, Zhang Y, Daly I, Wang X, Cichocki A: Whether generic model works for rapid ERP-based BCI calibration. J Neurosci Methods 2012, 212: 94-99.
Article
PubMed
PubMed Central
Google Scholar
Lu H, Plataniotis KN, Venetsanopoulos AN: Regularized common spatial patterns with generic learning for EEG signal classification. Conf Proc IEEE Eng Med Biol Soc 2009, 2009: 6599-6602.
PubMed
Google Scholar
Herweg A, Kaufmann T, Kübler A 4th Workshop on Tools for Brain Computer Interaction (TOBI); January 17; Sion. Increasing tactile ERP-BCI performance using generic models 2013.
Google Scholar
Millán JR, Rupp R, Müller-Putz GR, Murray-Smith R, Giugliemma C, Tangermann M, Vidaurre C, Cincotti F, Kübler A, Leeb R, et al.: Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges. Front Neuroprosthetics 2010, 4: 161.
Google Scholar
Zickler C, Di Donna V, Kaiser V, Al-Khodairy A, Kleih S, Kübler A: BCI applications for people with disabilities: defining user needs and user requirements. In Assistive Technology from Adapted Equipment to Inclusive Environments, AAATE 25 Assistive Technology Research Series. Edited by: Emiliani PL, Burzagli L, Como A, Gabbanini F, Salminen A-L. Amsterdam: IOS Press; 2009:185-189.
Google Scholar
Kübler A, Holz E, Kaufmann T, Zickler C: A User Centred Approach for Bringing BCI Controlled Applications to End-Users. In Brain-Computer Interface Systems - Recent Progress and Future Prospects. Edited by: Fazel-Rezai R. Rijeka, Croatia: Intech; 2013.
Google Scholar
Cheliout-Heraut F, Barois A, Urtizberea A, Viollet L, Estournet-Mathiaud B: Evoked potentials in spinal muscular atrophy. J Child Neurol 2003, 18: 383-390. 10.1177/08830738030180061101
Article
PubMed
Google Scholar
Halder S, Baykara E, Fioravanti C, Simon N, Käthner I, Pasqualotto E, Kleih S, Ruf CA, Birbaumer N, Kübler A Fifth International Brain-Computer Interface Meeting 2013. In Training Effects of Multiple Auditory BCI Sessions. Monterey, USA; 2013.
Google Scholar
Kaufmann T, Schulz SM, Grünzinger C, Kübler A: Flashing characters with famous faces improves ERP-based brain-computer interface performance. J Neural Eng 2011, 8: 056016. 10.1088/1741-2560/8/5/056016
Article
CAS
PubMed
Google Scholar
Aloise F, Schettini F, Aricò P, Leotta F, Salinari S, Mattia D, Babiloni F, Cincotti F: P300-based brain-computer interface for environmental control: an asynchronous approach. J Neural Eng 2011, 8: 025025. 10.1088/1741-2560/8/2/025025
Article
CAS
PubMed
Google Scholar
Aloise F, Schettini F, Aricò P, Salinari S, Guger C, Rinsma J, Aiello M, Mattia D, Cincotti F: Asynchronous P300-based brain-computer interface to control a virtual environment: initial tests on end users. Clin EEG Neurosci 2011, 42: 219-224. 10.1177/155005941104200406
Article
PubMed
Google Scholar
Zhang H, Guan C, Wang C: Asynchronous P300-based brain-computer interfaces: a computational approach with statistical models. IEEE Trans Biomed Eng 2008, 55: 1754-1763.
Article
PubMed
Google Scholar
Allison B, Leeb R, Brunner C, Müller-Putz G, Bauernfeind G, Kelly J, Neuper C: Toward smarter BCIs: extending BCIs through hybridization and intelligent control. J Neural Eng 2012, 9: 013001. 10.1088/1741-2560/9/1/013001
Article
CAS
PubMed
Google Scholar
Brunner C, Allison B, Altstätter C, Neuper C: A comparison of three brain–computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals. J Neural Eng 2011, 8: 025010. 10.1088/1741-2560/8/2/025010
Article
CAS
PubMed
Google Scholar
Holz E, Riccio A, Reichert J, Leotta F, Aricò P, Cincotti F, Mattia D, Kübler A 4th Workshop on Tools for Brain Computer Interaction (TOBI). In Hybrid-P300 BCI: Usability Testing by Severely Motor-restricted End-Users. Sion, Switzerland; 2013:111-112.
Google Scholar
Pfurtscheller G, Allison BZ, Brunner C, Bauernfeind G, Solis-Escalante T, Scherer R, Zander TO, Mueller-Putz G, Neuper C, Birbaumer N: The hybrid BCI. Front Neurosci 2010,4(4):4.
Google Scholar