Out of the frying pan into the fire—the P300-based BCI faces real-world challenges
Tài liệu tham khảo
Aloise, 2006
Aloise, 2009
Aloise, 2008
Anderson, 2007, Classification of time-embedded EEG using short-time principal component analysis, 261
Babiloni, 2009, On the use of brain-computer interfaces outside scientific laboratories toward an application in domotic environments, International Review of Neurobiology, 86, 133, 10.1016/S0074-7742(09)86010-8
Baldoni, 2009, An embedded middleware platform for pervasive and immersive environments for-all, 1
Bayliss, 2003, Use of the evoked potential P3 component for control in a virtual apartment, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 113, 10.1109/TNSRE.2003.814438
Birbaumer, 1999, A spelling device for the paralysed, Nature, 398, 297, 10.1038/18581
Birbaumer, 2008, Brain-computer interface in paralysis, Current Opinion in Neurology, 21, 634, 10.1097/WCO.0b013e328315ee2d
Blankertz, 2007, A note on brain actuated spelling with the berlin brain- computer interface, 759
Blankertz, 2011, Single-trial analysis and classification of ERP components—A tutorial, Neuroimage, 56, 814, 10.1016/j.neuroimage.2010.06.048
Blankertz, 2010, Neurophysiological predictor of SMR-based BCI performance, Neuroimage, 51, 1303, 10.1016/j.neuroimage.2010.03.022
Brouwer, 2010, A tactile P300 brain-computer interface, Front Neuroprocessor, 4, 1
Brunner, 2010, Does the ‘P300′ speller depend on eye gaze?, Journal of Neural Engineering, 7, 1, 10.1088/1741-2560/7/5/056013
Cecotti, 2011, Convolutional neural networks for P300 detection with application to brain-computer interfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 433, 10.1109/TPAMI.2010.125
Cincotti, 2007, Vibrotactile feedback for brain-computer interface operation, Computational Intelligence and Neuroscience, 2007, 48937, 10.1155/2007/48937
Cincotti, 2008, Non-invasive brain-computer interface system: Towards its application as assistive technology, Brain Research Bulletin, 75, 796, 10.1016/j.brainresbull.2008.01.007
Demiralp, 2001, Wavelet analysis of P3a and P3b, Brain Topography, 13, 251, 10.1023/A:1011102628306
Donchin, 2000, The mental prosthesis: Assessing the speed of a P300-based brain-computer interface, IEEE Transactions on Rehabilitation Engineering, 8, 174, 10.1109/86.847808
Donoghue, 2008, Bridging the gap to the world: A perspective on neural interface systems, Neuron, 60, 511, 10.1016/j.neuron.2008.10.037
Dornhege, 2007, General signal processing and machine learning tools for BCI analysis, 207
Fabiani, 1987, Definition, identification and reliability of measurement of the P300 component of the event-related brain potential, 1
Farwell, 1988, Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials, Electroencephalography and Clinical Neurophysiology, 70, 510, 10.1016/0013-4694(88)90149-6
Furdea, 2009, An auditory oddball (P300) spelling system for brain-computer interfaces, Psychophysiology, 46, 617, 10.1111/j.1469-8986.2008.00783.x
Giacino, 2002, The minimally conscious state: Definition and diagnostic criteria, Neurology, 58, 349, 10.1212/WNL.58.3.349
Gonsalvez, 2002, P300 amplitude is determined by target-to-target interval, Psychophysiology, 39, 388, 10.1017/S0048577201393137
Guger, 2009, How many people are able to control a P300-based brain-computer interface (BCI)?, Neuroscience Letters, 462, 94, 10.1016/j.neulet.2009.06.045
Guger, 2009, Brain-Computer Interface for Virtual Reality Control, 443
Halder, 2010, An auditory oddball brain-computer interface for binary choices, Clinical Neurophysiology, 121, 516, 10.1016/j.clinph.2009.11.087
Hill, 2005, An auditory paradigm for brain-computer interfaces, Vol. 17, 569
Hill, 2007, Classifying event-related desynchronization in EEG, ECoG, and MEG signals, 235
Hoffmann, 2007
Hoffmann, 2008, An efficient P300-based brain-computer interface for disabled subjects, Journal of Neuroscience Methods, 167, 115, 10.1016/j.jneumeth.2007.03.005
Höhne, 2010, Two-dimensional auditory P300 Speller with predictive text system, Conference Proceedings: IEEE Engineering in Medicine and Biology Society, 1, 4185
Iturrate, 2009, A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation, IEEE Transactions on Robotics, 25, 614, 10.1109/TRO.2009.2020347
Kaper, 2004, Support vector machines for the P300 speller paradigm, IEEE Transactions on Biomedical Engineering, 51, 1073, 10.1109/TBME.2004.826698
Kaufmann, T., Vögele, C., Sütterlin, S., Lukito, S., & Kübler, A. (submitted for publication). Effects of cardiac autonomic balance on performance in a P300 Brain Computer Interface
Kleih, 2010, Motivation modulates the P300 amplitude during brain-computer interface use, Clinical Neurophysiology, 121, 1023, 10.1016/j.clinph.2010.01.034
Klobassa, 2009, Toward a high-throughput auditory P300-based brain-computer interface, Clinical Neurophysiology, 120, 1252, 10.1016/j.clinph.2009.04.019
Kotchoubey, 2009, Recognition of affective prosody in brain-damaged patients and healthy controls: A neurophysiological study using EEG and whole-head MEG, Cognitive, Affective, & Behavioral Neuroscience, 9, 153, 10.3758/CABN.9.2.153
Krusienski, 2010, Control of a robotic manipulator using EEG and ECoG signals
Krusienski, 2006, A comparison of classification techniques for the P300 speller, Journal of Neural Engineering, 3, 299, 10.1088/1741-2560/3/4/007
Krusienski, 2008, Toward enhanced P300 speller performance, Journal of Neuroscience Methods, 167, 15, 10.1016/j.jneumeth.2007.07.017
Kübler, 2009, A brain-computer interface controlled auditory event-related potential (p300) spelling system for locked-in patients, Annals of the New York Academy of Sciences, 1157, 90, 10.1111/j.1749-6632.2008.04122.x
Kübler, 2008, Brain painting—BCI meets art, 361
Kübler, 2007, Brain-computer interfaces in the continuum of consciousness, Current Opinion in Neurology, 20, 643, 10.1097/WCO.0b013e3282f14782
Kübler, 2001, Brain-computer communication: Unlocking the locked in, Psychological Bulletin, 127, 358, 10.1037/0033-2909.127.3.358
Kübler, 2007, An introduction to brain-computer interfacing, 1
Kübler, 2004, Brain-computer predictability of brain-computer communication, Journal of Psychophysiology, 18, 121, 10.1027/0269-8803.18.23.121
Laureys, 2004, Brain function in coma, vegetative state, and related disorders, Lancet Neurology, 9, 537, 10.1016/S1474-4422(04)00852-X
Laureys, 2005, The locked-in syndrome: What is it like to be conscious but paralyzed and voiceless?, Progress in Brain Research, 150, 495, 10.1016/S0079-6123(05)50034-7
Lin, 2010, Review of wireless and wearable electroencephalogram systems and brain-computer interfaces—A mini-review, Gerontology, 56, 112, 10.1159/000230807
Lotte, 2007, A review of classification algorithms for EEG-based brain-computer interfaces, Journal of Neural Engineering, 4, R1, 10.1088/1741-2560/4/2/R01
Lutzenberger, 1979, The effects of self-regulation of slow cortical potentials on performance in a signal detection task, The International Journal of Neuroscience, 9, 175, 10.3109/00207457909147670
Lutzenberger, 1982, Biofeedback produced slow brain potentials and task performance, Biological Psychology, 14, 99, 10.1016/0301-0511(82)90018-7
Mankoff, 2002, Web accessability for low bandwidth input, 89
McFarland, 1997, Spatial filter selection for EEG-based communication, Electroencephalography and Clinical Neurophysiology, 103, 386, 10.1016/S0013-4694(97)00022-2
McFarland, 2011, The P300-based brain-computer interface (BCI): Effects of stimulus rate, Clinical Neurophysiology, 122, 731, 10.1016/j.clinph.2010.10.029
Millán, 2010, Combining brain–computer interfaces and assistive technologies: State-of-the-art and challenges, Frontiers in Neuroscience, 4, 1
Monti, 2010, The vegetative state, British Medical Journal, 341, 292, 10.1136/bmj.c3765
Monti, 2010, Willful modulation of brain activity in disorders of consciousness, The New England Journal of Medicine, 362, 579, 10.1056/NEJMoa0905370
Mugler, 2008, Control of an internet browser using the P300 event-related potential, International Journal of Bioelectromagnetism, 10, 56
Mugler, 2010, Design and implementation of a P300-based brain-computer interface for controlling an internet browser, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18, 599, 10.1109/TNSRE.2010.2068059
Müller-Putz, 2006, Steady-state somatosensory evoked potentials: Suitable brain signals for brain-computer interfaces?, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14, 30, 10.1109/TNSRE.2005.863842
Münßinger, 2010, Brain Painting: first evaluation of a new brain–computer interface application with ALS-patients and healthy volunteers, Frontiers in Neuroprosthetics, 4
Neumann, 2003, Predictors of successful self control during brain-computer communication, Journal of Neurology, Neurosurgey, and Psychiatry, 74, 1117, 10.1136/jnnp.74.8.1117
Nijboer, 2010, The Influence of Psychological State and Motivation on Brain–Computer Interface Performance in Patients with Amyotrophic Lateral Sclerosis — a Longitudinal Study, Frontiers in Neuroscience, 4
Nijboer, 2008, An auditory brain-computer interface (BCI), Journal of Neuroscience Methods, 167, 43, 10.1016/j.jneumeth.2007.02.009
Nijboer, 2008, A P300-based brain-computer interface for people with amyotrophic lateral sclerosis, Clinical Neurophysiology, 119, 1909, 10.1016/j.clinph.2008.03.034
Nunan, 2009, Validity and reliability of short-term heart-rate variability from the Polar S810, Medicine and Science in Sports and Exercise, 41, 243, 10.1249/MSS.0b013e318184a4b1
Pfurtscheller, 1992, Event-related synchronization (ERS): An electrophysiological correlate of cortical areas at rest, Electroencephalography and Clinical Neurophysiology, 83, 62, 10.1016/0013-4694(92)90133-3
Pfurtscheller, 2005, EEG-based brain-computer interfaces
Piccione, 2006, P300-based brain computer interface: Reliability and performance in healthy and paralysed participants, Clinical Neurophysiology, 117, 531, 10.1016/j.clinph.2005.07.024
Pineda, 2003, Learning to control brain rhythms: Making a brain-computer interface possible, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 181, 10.1109/TNSRE.2003.814445
Pires, 2002, A wheelchair steered through voice commands and assisted by a reactive fuzzy-logic controller, Journal of Intelligent and Robotic Systems, 34, 301, 10.1023/A:1016363605613
Pritchard, 1981, Psychophysiology of P300, Psychological Bulletin, 89, 506, 10.1037/0033-2909.89.3.506
Rastjoo, 2009, Evaluation of hidden Markov model for P300 detection in EEG signal, Studies in Health Technology and Informatics, 142, 265
Riccio, 2010, Evaluation of a P300 overlaid stimulation for controlling an assistive technology software
Rowland, 2001, Medical progress: Amyotrophic lateral sclerosis, The New England Journal of Medicine, 344, 1688, 10.1056/NEJM200105313442207
Schalk, 2004, BCI2000: A general-purpose brain-computer interface (BCI) system, IEEE Transactions on Biomedical Engineering, 51, 1034, 10.1109/TBME.2004.827072
Schnakers, 2009, Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment, BMC Neurology, 9, 35, 10.1186/1471-2377-9-35
Schreuder, 2010, A new auditory multi-class brain computer interface paradigm: Spatial hearing as an informative cue, PLoS One, 5, e9813, 10.1371/journal.pone.0009813
Sellers, 2006, A P300-based brain-computer interface: Initial tests by ALS patients, Clinical Neurophysiology, 117, 538, 10.1016/j.clinph.2005.06.027
Sellers, 2006, A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance, Biological Psychiatry, 73, 242, 10.1016/j.biopsycho.2006.04.007
Sellers, 2010, A brain-computer interface for long-term independent home use, Amyotrophic Lateral Sclerosis, 11, 449, 10.3109/17482961003777470
Sirvent, 2010, P300-based brain-computer interface for internet browsing, 71, 615
Sutton, 1965, Evoked-potential correlates of stimulus uncertainty, Science, 150, 1187, 10.1126/science.150.3700.1187
Takano, 2009, Visual stimuli for the P300 brain–computer interface: A comparison of white/gray and green/blue flicker matrices, Clinical Neurophysiology, 120, 1562, 10.1016/j.clinph.2009.06.002
Task Force of the European Society of Cardiology and The North American Society of Pacing and Electrophysiology, 1996, Heart rate variability—Standards of measurement, physiological interpretation, and clinical use, European Heart Journal, 17, 354, 10.1093/oxfordjournals.eurheartj.a014868
Townsend, 2010, A novel P300-based brain-computer interface stimulus presentation paradigm: Moving beyond rows and columns, Clinical Neurophysiology, 121, 1109, 10.1016/j.clinph.2010.01.030
Treder, 2010, (C)overt attention and visual speller design in an ERP-based brain-computer interface, Behavioral and Brain Functions, 6, 10.1186/1744-9081-6-28
van Boxtel, 2010, Consciousness and attention: On sufficiency and necessity, Frontiers in Psychology, 1, 217, 10.3389/fpsyg.2010.00217
Volosyak, 2010, Brain-computer interface using water-based electrodes, Journal of Neural Engineering, 7, 066007, 10.1088/1741-2560/7/6/066007
Williamson, 2009, Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces, International Journal of Human-Computer Studies, 67, 827, 10.1016/j.ijhcs.2009.05.009
Zickler, 2009, BCI applications for people with disabilities: Defining user needs and user requirements
Zickler, C., Riccio, A., Leotta, F., Hillian-Tress, S., Halder, S., Holz, E., et al. (submitted for publication). BCI and Assistive Technology: BCI as input channel in a standard assistive technology ICT-software. Clinical EEG