The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Open accessAbstract
Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090 · see citing works
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 24,015 · see citing works
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927 · see citing works
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328 · see citing works
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889 · see citing works
Actual causes of death in the United States
McGinnis, J. M. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1993.03510180077038 · Cited by 5,480 · see citing works
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211 · see citing works
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Leski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H., & Einevoll, G. T. (2013) · PubMed Central · doi:10.18154/rwth-conv-084442 · Cited by 3,662 · see citing works
Farwell, L. A., & Donchin, E. (1988) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(88)90149-6 · Cited by 3,228 · see citing works
A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r01 · Cited by 2,665 · see citing works
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., & Muller, K.-R. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408441 · Cited by 2,080 · cited 3× · see citing works
“…the use of modern machine learning and signal processing methods, that allowed to relocate the burden of training from a learning subject toward statistical learning machines and thereby achieve BCI communication for a naïve user already in the first session (Blankertz et al., 2002, 2007a, 2008b).”
BackgroundMethodSelf-citationA spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577 · see citing works
Thut, G., Nietzel, A., Brandt, S. A., & Pascual‐Leone, Á. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0875-06.2006 · Cited by 1,473 · see citing works
New vistas for α-frequency band oscillations
Palva, S., & Palva, J. M. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.02.001 · Cited by 1,339 · see citing works
Brain–computer interfaces in neurological rehabilitation
Daly, J. J., & Wolpaw, J. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70223-0 · Cited by 1,149 · see citing works
Single-trial analysis and classification of ERP components — A tutorial
Blankertz, B., Lemm, S., Treder, M., Haufe, S., & Müller, K.-R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.048 · Cited by 1,138 · see citing works
Self-citationTo See or Not to See: Prestimulus α Phase Predicts Visual Awareness
Mathewson, K. E., Gratton, G., Fabiani, M., Beck, D. M., & Ro, T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3963-08.2009 · Cited by 1,011 · see citing works
Blankertz, B., Dornhege, G., Krauledat, M., Müller, K., & Curio, G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.051 · Cited by 941 · see citing works
Self-citationKrumhansl, C. L., & Kessler, E. J. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.334 · Cited by 905 · see citing works
Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability
van Dijk, H., Schoffelen, J., Oostenveld, R., & Jensen, O. B. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-07.2008 · Cited by 831 · see citing works
Design and implementation of a brain-computer interface with high transfer rates
Cheng, M. J., Gao, X., Gao, S., & Xu, D. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.803536 · Cited by 820 · see citing works
Toward Brain-Computer Interfacing
Dornhege, G., Millán, J. D. R., Hinterberger, T., McFarland, D. J., & Müller, K.-R. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.001.0001 · Cited by 789 · see citing works
Self-citationEEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.
Berka, C., Levendowski, D. J., Lumicao, M. N., Yau, A., Davis, G., Zivkovic, V. T., Olmstead, R. E., Tremoulet, P. D., & Craven, P. L. (2007) · PubMed · Cited by 765 · see citing works
Brain–computer interfaces: communication and restoration of movement in paralysis
Birbaumer, N., & Cohen, L. G. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2006.125633 · Cited by 753 · see citing works
A direct comparison of wet, dry and insulating bioelectric recording electrodes
Searle, A., & Kirkup, L. (2000) · Physiological Measurement · doi:10.1088/0967-3334/21/2/307 · Cited by 726 · see citing works
Brain-computer interfaces based on the steady-state visual-evoked response
Middendorf, M. S., McMillan, G. R., Calhoun, G. L., & Jones, K. S. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847819 · Cited by 685 · see citing works
Neurophysiological predictor of SMR-based BCI performance
Blankertz, B., Sannelli, C., Halder, S., Hammer, E. M., Kübler, A., Müller, K.-R., Curio, G., & Dickhaus, T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.022 · Cited by 674 · see citing works
Self-citationHow many people are able to control a P300-based brain-computer interface (BCI)?
Guger, C., Daban, S., Sellers, E., Holzner, C., Krausz, G., Carabalona, R., Gramatica, F., & Edlinger, G. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.045 · Cited by 652 · see citing works
Xu, J., Kochanek, K. D., Murphy, S. L., & Tejada‐Vera, B. (2010) · PubMed · Cited by 650 · see citing works
Cooper, N. R., Croft, R. J., Dominey, S. J. J., Burgess, A., & Gruzelier, J. H. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(02)00107-1 · Cited by 615 · see citing works
Selective attention to stimulus location modulates the steady-state visual evoked potential.
Morgan, S. T., Hansen, J. C., & Hillyard, S. A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.10.4770 · Cited by 598 · see citing works
Recipes for the linear analysis of EEG
Parra, L. C., Spence, C. D., Gerson, A. D., & Sajda, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.032 · Cited by 570 · see citing works
Brain-computer communication: Unlocking the locked in.
Kübler, A., Kotchoubey, B., Kaiser, J., Wolpaw, J. R., & Birbaumer, N. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.3.358 · Cited by 554 · see citing works
Pfurtscheller, G., Müller, G. R., Pfurtscheller, J., Gerner, H. J., & Rupp, R. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(03)00947-9 · Cited by 548 · see citing works
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface
Kübler, A., Nijboer, F., Mellinger, J., Vaughan, T. M., Pawelzik, H., Schalk, G., McFarland, D. J., Birbaumer, N., & Wolpaw, J. R. (2005) · Neurology · doi:10.1212/01.wnl.0000158616.43002.6d · Cited by 539 · see citing works
Lerdahl, F. (2001) · Medical Entomology and Zoology · Cited by 536 · see citing works
Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods
Gevins, A., Smith, M. E., Leong, H., McEvoy, L., Whitfield, S., Du, R., & Rush, G. (1998) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872098779480578 · Cited by 535 · see citing works
Towards a cure for BCI illiteracy
Vidaurre, C., & Blankertz, B. (2010) · Brain Topography · doi:10.1007/s10548-009-0121-6 · Cited by 501 · see citing works
Self-citationThe thought translation device (TTD) for completely paralyzed patients
Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493 · see citing works
Müller, K., Tangermann, M., Dornhege, G., Krauledat, M., Curio, G., & Blankertz, B. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.09.022 · Cited by 475 · see citing works
Self-citationClassifying Single Trial EEG: Towards Brain Computer Interfacing
Blankertz, B., Curio, G., & Müller, K. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0025 · Cited by 473 · see citing works
Self-citationBrain-computer interface research at the Wadsworth Center
Wolpaw, J. R., McFarland, D. J., & Vaughan, T. M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847823 · Cited by 438 · see citing works
Correction: Actual Causes of Death in the United States, 2000
Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2005) · JAMA · doi:10.1001/jama.293.3.293 · Cited by 428 · see citing works
Brain–computer interface systems: progress and prospects
Allison, B. Z., Wolpaw, E. W., & Wolpaw, J. R. (2007) · Expert Review of Medical Devices · doi:10.1586/17434440.4.4.463 · Cited by 424 · see citing works
The neural basis of mental imagery
Farah, M. J. (1989) · Trends in Neurosciences · doi:10.1016/0166-2236(89)90079-9 · Cited by 422 · see citing works
Hanslmayr, S., Sauseng, P., Doppelmayr, M. M., Schabus, M., & Klimesch, W. (2005) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-005-2169-8 · Cited by 421 · see citing works
Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment
Lalor, E. C., Kelly, S. P., Finucane, C., Burke, R., Smith, R. O., Reilly, R. B., & McDarby, G. (2005) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/asp.2005.3156 · Cited by 421 · see citing works
Brain-Computer Interfaces, Virtual Reality, and Videogames
Lécuyer, A., Lotte, F., Reilly, R. B., Leeb, R., Hirose, M., & Slater, M. (2008) · Computer · doi:10.1109/mc.2008.410 · Cited by 402 · see citing works
Klimesch, W., Sauseng, P., & Gerloff, C. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02517.x · Cited by 392 · see citing works
(C)overt attention and visual speller design in an ERP-based brain-computer interface
Treder, M. S., & Blankertz, B. (2010) · Behavioral and Brain Functions · doi:10.1186/1744-9081-6-28 · Cited by 363 · see citing works
Self-citationReal-Time Tracking of Memory Formation in the Human Rhinal Cortex and Hippocampus
Fernández, G., Effern, A., Grünwald, T., Pezer, N., Lehnertz, K., Dümpelmann, M., Roost, D. V., & Elger, C. E. (1999) · Science · doi:10.1126/science.285.5433.1582 · Cited by 346 · see citing works
BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?
Allison, B., Luth, T., Valbuena, D., Teymourian, A., Volosyak, I., & Graser, A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039495 · Cited by 344 · see citing works
Flexible polymeric dry electrodes for the long-term monitoring of ECG
Baek, J.-Y., An, J.-H., Choi, J.-M., Park, K.-S., & Lee, S. (2007) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2007.11.019 · Cited by 339 · see citing works
The Berlin brain-computer Interface: accurate performance from first-session in BCI-naive subjects
Blankertz, B., Losch, F., Krauledat, M., Dornhege, G., Curio, G., & Muller, K.-R. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.923152 · Cited by 338 · see citing works
Self-citationThe wadsworth BCI research and development program: at home with BCI
Vaughan, T. M., McFarland, D. J., Schalk, G., Sarnacki, W. A., Krusienski, D. J., Sellers, E. W., & Wolpaw, J. R. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875577 · Cited by 335 · see citing works
Non-invasive brain–computer interface system: Towards its application as assistive technology
Febo Cincotti, A., Donatella Mattia, A., Aloise, F., Bufalari, S., Schalk, G., Oriolo, G., Cherubini, A., Marciani, M. G., & Babiloni, F. (2008) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2008.01.007 · Cited by 329 · see citing works
Electroactive Polymer-Based Devices for e-Textiles in Biomedicine
Carpi, F., & DeRossi, D. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.854514 · Cited by 328 · see citing works
Towards an independent brain–computer interface using steady state visual evoked potentials
Allison, B. Z., McFarland, D. J., Schalk, G., Zheng, S. D., Jackson, M. M., & Wolpaw, J. R. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.09.121 · Cited by 327 · see citing works
Towards the integration of textile sensors in a wireless monitoring suit
Catrysse, M., Puers, R., Hertleer, C., Langenhove, L. V., van Egmond, H., & Matthys, D. (2004) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2003.10.071 · Cited by 325 · see citing works
Neuper, C., Müller, G. R., Kübler, A., Birbaumer, N., & Pfurtscheller, G. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00387-5 · Cited by 317 · see citing works
Selective right parietal lobe activation during mental rotation
Harris, I. M., Egan, G. F., Sonkkilla, C., Tochon‐Danguy, H., Paxinos, G., & Watson, J. D. G. (2000) · Brain · doi:10.1093/brain/123.1.65 · Cited by 298 · see citing works
Kübler, A., Kotchoubey, B., Hinterberger, T., Ghanayim, N., Perelmouter, J., Schauer, M., Fritsch, C., Taub, E., & Birbaumer, N. (1999) · Experimental Brain Research · doi:10.1007/s002210050617 · Cited by 297 · see citing works
A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue
Schreuder, M., Blankertz, B., & Tangermann, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009813 · Cited by 276 · see citing works
Self-citationOtmani, S., Pébayle, T., Rogé, J., & Muzet, A. G. (2005) · Physiology & Behavior · doi:10.1016/j.physbeh.2005.02.021 · Cited by 273 · see citing works
Papadelis, C. L., Chen, Z. S., Kourtidou‐Papadeli, C., Bamidis, P. D., Chouvarda, I., Bekiaris, E. D., & Maglaveras, N. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.031 · Cited by 268 · see citing works
Finding Stationary Subspaces in Multivariate Time Series
von Bünau, P., Meinecke, F. C., Király, F. J., & Müller, K. (2009) · Physical Review Letters · doi:10.1103/physrevlett.103.214101 · Cited by 264 · see citing works
Self-citationPrestimulus alpha and mu activity predicts failure to inhibit motor responses
Mazaheri, A., Nieuwenhuis, I. L. C., van Dijk, H., & Jensen, O. B. (2009) · Human Brain Mapping · doi:10.1002/hbm.20763 · Cited by 261 · see citing works
Medial temporal theta state before an event predicts episodic encoding success in humans
Guderian, S., Schott, B. H., Richardson-Klavehn, A., & Düzel, E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900289106 · Cited by 260 · see citing works
Dobkin, B. H. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.123067 · Cited by 256 · see citing works
Tonic, phasic, and transient EEG correlates of auditory awareness in drowsiness
Makeig, S., & Jung, T. (1996) · Cognitive Brain Research · doi:10.1016/0926-6410(95)00042-9 · Cited by 254 · see citing works
Subject-independent mental state classification in single trials
Fazli, S., Popescu, F., Danóczy, M., Blankertz, B., Müller, K., & Grozea, C. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.06.003 · Cited by 253 · see citing works
Self-citationA Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller
Cecotti, H. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039594 · Cited by 253 · see citing works
Neurofeedback-based motor imagery training for brain–computer interface (BCI)
Hwang, H., Kwon, K., & Im, C. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.01.015 · Cited by 252 · see citing works
Hankins, T., & Wilson, G. F. (1998) · PubMed · Cited by 248 · see citing works
Towards Zero Training for Brain-Computer Interfacing
Krauledat, M., Tangermann, M., Blankertz, B., & Müller, K. R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002967 · Cited by 248 · see citing works
Self-citationThe use of psychophysiology to assess driver status
Brookhuis, K., & de Waard, D. (1993) · Ergonomics · doi:10.1080/00140139308967981 · Cited by 245 · see citing works
Brain–computer-interface research: Coming of age
Birbaumer, N. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.11.002 · Cited by 237 · see citing works
Enhancement of Left-Right Sensorimotor EEG Differences During Feedback-Regulated Motor Imagery
Neuper, C., Schlögl, A., & Pfurtscheller, G. (1999) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199907000-00010 · Cited by 225 · see citing works
Machine-learning-based coadaptive calibration for brain-computer interfaces
Vidaurre, C., Sannelli, C., Müller, K.-R., & Blankertz, B. (2011) · Neural Computation · doi:10.1162/neco_a_00089 · Cited by 207 · see citing works
Self-citationKrepki, R., Blankertz, B., Curio, G., & Müller, K. (2007) · Multimedia Tools and Applications · doi:10.1007/s11042-006-0094-3 · Cited by 206 · see citing works
Self-citationSingle Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes
Popescu, F., Fazli, S., Badower, Y., Blankertz, B., & Müller, K.-R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000637 · Cited by 202 · see citing works
Self-citationEmulation of computer mouse control with a noninvasive brain–computer interface
McFarland, D. J., Krusienski, D. J., Sarnacki, W. A., & Wolpaw, J. R. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/2/001 · Cited by 202 · see citing works
Biofeedback of slow cortical potentials. I
Elbert, T. R., Rockstroh, B. S., Lutzenberger, W., & Birbaumer, N. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90265-5 · Cited by 198 · see citing works
The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome
Birbaumer, N., Hinterberger, T., Kübler, A., & Neumann, N. (2003) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2003.814439 · Cited by 196 · see citing works
Vidaurre, C., Schloogl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.873542 · Cited by 195 · see citing works
Self-citationKohlmorgen, J., Dornhege, G., Braun, M., Blankertz, B., Müller, K., Curio, G., Hagemann, K., Bruns, A., Schrauf, M., & Kincses, W. E. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.003.0031 · Cited by 179 · see citing works
Self-citationEvent-related beta EEG-changes during passive and attempted foot movements in paraplegic patients
Muller-Putz, G. R., Zimmermann, D., Graimann, B., Nestinger, K., Korisek, G., & Pfurtscheller, G. (2006) · Brain Research · doi:10.1016/j.brainres.2006.12.052 · Cited by 177 · see citing works
The MindGame: A P300-based brain–computer interface game
Finke, A., Lenhardt, A., & Ritter, H. J. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.003 · Cited by 175 · see citing works
A regularized discriminative framework for EEG analysis with application to brain–computer interface
Tomioka, R., & Müller, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.045 · Cited by 167 · see citing works
Self-citationIntegrating wireless ECG monitoring in textiles
Coosemans, J., Hermans, B., & Puers, R. (2005) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2005.10.052 · Cited by 166 · see citing works
A new EEG recording system for passive dry electrodes
Gargiulo, G. D., Calvo, R. A., Bifulco, P., Cesarelli, M., Jin, C. T., Mohamed, A., & André, V. S. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.12.025 · Cited by 165 · see citing works
A user-friendly SSVEP-based brain–computer interface using a time-domain classifier
Luo, A., & Sullivan, T. J. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/2/026010 · Cited by 161 · see citing works
An Introduction to Brain-Computer Interfacing
Kübler, A., & Müller, K. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.003.0003 · Cited by 161 · see citing works
Self-citationThe functional significance of ERP effects during mental rotation
Heil, M. (2002) · Psychophysiology · doi:10.1111/1469-8986.3950535 · Cited by 154 · see citing works
Sub-processes of working memory in the N-back task: An investigation using ERPs
Chen, Y.-N., Mitra, S., & Schlaghecken, F. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.03.003 · Cited by 150 · see citing works
P300-Based BCI Mouse With Genetically-Optimized Analogue Control
Citi, L., Poli, R., Cinel, C., & Sepulveda, F. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.913184 · Cited by 147 · see citing works
Study of On-Line Adaptive Discriminant Analysis for EEG-Based Brain Computer Interfaces
Vidaurre, C., Schlögl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.888836 · Cited by 142 · see citing works
Self-citationRoberts, J. E., & Bell, M. A. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(03)00195-8 · Cited by 142 · see citing works
Spatiotemporal Linear Decoding of Brain State
Parra, L. C., Christoforou, C., Gerson, A. D., Dyrholm, M., Luo, A., Wagner, M., Philiastides, M. G., & Sajda, P. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408447 · Cited by 135 · see citing works
Right Hemisphere Specialization for Mental Rotation in Normals and Brain Damaged Subjects
Ditunno, P. L., & Mann, V. A. (1990) · Cortex · doi:10.1016/s0010-9452(13)80349-8 · Cited by 131 · see citing works
Flexible dry surface-electrodes for ECG long-term monitoring
Hoffmann, K., & Ruff, R. (2007) · doi:10.1109/iembs.2007.4353650 · Cited by 129 · see citing works
BCI for Games: A ‘State of the Art’ Survey
Nijholt, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89222-9_29 · Cited by 127 · see citing works
Unsupervised Brain Computer Interface Based on Intersubject Information and Online Adaptation
Lu, S., Guan, C., & Zhang, H. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2015197 · Cited by 122 · see citing works
Concepts and applications of EEG analysis in aviation performance evaluation
Sterman, M. B., & Mann, C. A. (1995) · Biological Psychology · doi:10.1016/0301-0511(95)05101-5 · Cited by 118 · see citing works
Quasi-movements: A novel motor–cognitive phenomenon
Nikulin, V. V., Hohlefeld, F. U., Jacobs, A. M., & Curio, G. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.10.008 · Cited by 115 · see citing works
Self-citationThe Self-Paced Graz Brain-Computer Interface: Methods and Applications
Scherer, R., Schlögl, A., Lee, F., Bischof, H., Janša, J., & Pfurtscheller, G. (2007) · Computational Intelligence and Neuroscience · doi:10.1155/2007/79826 · Cited by 113 · see citing works
Causal influence of gamma oscillations on the sensorimotor rhythm
Grosse‐Wentrup, M., Schölkopf, B., & Hill, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.265 · Cited by 113 · see citing works
Krumhansl, C. L., & Kessler, E. J. (1982) · Psychological Review · doi:10.1037//0033-295x.89.4.334 · Cited by 112 · see citing works
Electrocardiogram Recording with Pasteless Electrodes
Bergey, G. E., Squires, R. D., & Sipple, W. C. (1971) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1971.4502833 · Cited by 108 · see citing works
A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface
Blankertz, B., Krauledat, M., Dornhege, G., Williamson, J., Murray-Smith, R., & Müller, K.-R. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-73281-5_83 · Cited by 106 · see citing works
Self-citationAn Auditory Paradigm for Brain--Computer Interfaces
Hill, N. J., Lal, T. N., Bierig, K., Birbaumer, N., Schölkopf, B., Saul, L. K., Weiss, Y., & Bottou, L. (2004) · Cited by 104 · see citing works
Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients
Bensch, M., Karim, A. A., Mellinger, J., Hinterberger, T., Tangermann, M., Bogdan, M., Rosenstiel, W., & Birbaumer, N. (2007) · Computational Intelligence and Neuroscience · doi:10.1155/2007/71863 · Cited by 100 · see citing works
Self-citationNow you'll feel it, now you won't: EEG rhythms predict the effectiveness of perceptual masking
Schubert, R., Haufe, S., Blankenburg, F., Villringer, A., & Curio, G. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21174 · Cited by 100 · see citing works
Self-citationDesigning for uncertain, asymmetric control: Interaction design for brain–computer interfaces
Williamson, J. H., Murray‐Smith, R., Blankertz, B., Krauledat, M., & Müller, K. R. (2009) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.05.009 · Cited by 98 · see citing works
Self-citationLearning EEG-based spectral-spatial patterns for attention level measurement
Hamadicharef, B., Zhang, H., Guan, C., Wang, C., Phua, K. S., Tee, K. P., & Ang, K. K. (2009) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2009.5118043 · Cited by 93 · see citing works
A Role for the Left Hemisphere in Spatial Processing
Mehta, Z., & Newcombe, F. (1991) · Cortex · doi:10.1016/s0010-9452(13)80121-9 · Cited by 84 · see citing works
Brainball - using brain activity for cool competition
Hjelm, S. I., & Browall, C. (2000) · Cited by 83 · see citing works
Mal-adaptation of event-related EEG responses preceding performance errors
Eichele, H. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00065 · Cited by 81 · see citing works
Comparison of designs towards a subject-independent brain-computer interface based on motor imagery
Lotte, F., Guan, C., & Ang, K. K. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5334126 · Cited by 78 · see citing works
Adaptive Classification for Brain Computer Interfaces
Blumberg, J., Rickert, J., Waldert, S., Schulze‐Bonhage, A., Aertsen, A., & Mehring, C. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352845 · Cited by 77 · see citing works
Schaefer, R. S., Vlek, R. J., & Desain, P. (2010) · Psychological Research · doi:10.1007/s00426-010-0293-4 · Cited by 72 · see citing works
Operant control of EEG and event-related and slow brain potentials
Rockstroh, B. S., Birbaumer, N., Elbert, T. R., & Lutzenberger, W. (1984) · Applied Psychophysiology and Biofeedback · doi:10.1007/bf00998830 · Cited by 71 · see citing works
Li, Y., & Guan, C. (2006) · Neural Computation · doi:10.1162/neco.2006.18.11.2730 · Cited by 70 · see citing works
Dry electrodes for monitoring of vital signs in functional textiles
Mühlsteff, J., & Such, O. (2005) · doi:10.1109/iembs.2004.1403645 · Cited by 66 · see citing works
Two-dimensional auditory p300 speller with predictive text system
Höhne, J., Schreuder, M., Blankertz, B., & Tangermann, M. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627379 · Cited by 65 · see citing works
Self-citationSassaroli, A., ZHENG, F., Hirshfield, L., Girouard, A., Solovey, E., Jacob, R. J. K., & Fantini, S. (2008) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545808000224 · Cited by 65 · see citing works
Human motor cortex activity during mental rotation
Windischberger, C., Lamm, C., Bauer, H., & Moser, E. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00235-0 · Cited by 63 · see citing works
Schalk, G. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/1/p01 · Cited by 62 · see citing works
Implementation of a Brain-Computer Interface Based on Three States of Motor Imagery
Wang, Y., Hong, B., Gao, X., & Gao, S. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353477 · Cited by 61 · see citing works
DASHER-an efficient writing system for brain-computer interfaces?
Wills, S. A., & Mackay, D. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875573 · Cited by 58 · see citing works
A Novel Dry Electrode for Brain-Computer Interface
Sellers, E. W., Turner, P., Sarnacki, W. A., McManus, T., Vaughan, T. M., & Matthews, R. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02577-8_68 · Cited by 56 · see citing works
Detecting affective covert user states with passive brain-computer interfaces
Zander, T. O., & Jatzev, S. (2009) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2009.5349456 · Cited by 54 · see citing works
Sex differences in the latency of the late event-related potential mental rotation effect
Gootjes, L., Bruggeling, E., Magnée, T., & Strien, J. W. V. (2008) · NeuroReport · doi:10.1097/wnr.0b013e3282f519b3 · Cited by 53 · see citing works
Single-trial detection in EEG and MEG: Keeping it linear
Parra, L. C., Alvino, C., Tang, A. C., Pearlmutter, B. A., Yeung, N., Osman, A. M., & Sajda, P. (2003) · Neurocomputing · doi:10.1016/s0925-2312(02)00821-4 · Cited by 47 · see citing works
Extraction of SSVEP signals of a capacitive EEG helmet for Human Machine Interface
Oehler, M., Neumann, P., Becker, M., Curio, G., & Schilling, M. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4650211 · Cited by 43 · see citing works
Self-citationGeneral Signal Processing and Machine Learning Tools for BCI Analysis
Dornhege, G., Krauledat, M., Müller, K., & Blankertz, B. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.003.0018 · Cited by 43 · see citing works
Self-citationHemispheric dominance for mental rotation: it is a matter of time
Milivojevic, B., Hamm, J. P., & Corballis, M. C. (2009) · Neuroreport · doi:10.1097/wnr.0b013e32832ea6fd · Cited by 41 · see citing works
Percio, C. D., Marzano, N., Tilgher, S., Fiore, A., Ciolo, E. D., Aschieri, P., Lino, A., Toràn, G., Babiloni, C., & Eusebi, F. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.029 · Cited by 38 · see citing works
Generalizing to new subjects in brain-computer interfacing
Kaper, M., & Ritter, H. J. (2005) · doi:10.1109/iembs.2004.1404214 · Cited by 38 · see citing works
Some new electrode techniques for long-term physiologic monitoring.
Pc, R., Coombs, F. K., & Adams, R. M. (1968) · PubMed · Cited by 31 · see citing works
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control
Scherer, R., Friedrich, E. V. C., Allison, B. Z., Pröll, M., Chung, M., Cheung, W., Rao, R. P. N., & Neuper, C. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21501-8_45 · Cited by 30 · see citing works
Ultradian rhythms in cognitive performance: no evidence for a 1.5-h rhythm
Neubauer, A. C., & Freudenthaler, H. H. (1995) · Biological Psychology · doi:10.1016/0301-0511(95)05121-p · Cited by 30 · see citing works
Actual causes of death in the United States
Tyson, T. J. (1994) · JAMA · doi:10.1001/jama.271.9.659b · Cited by 30 · see citing works
Integrating wireless ECG monitoring in textiles
Coosemans, J., Hermans, B., & Puers, R. (2005) · doi:10.1109/sensor.2005.1496399 · Cited by 25 · see citing works
Chapter 11 Brain–Computer Interface Research at the Wadsworth Center
Krusienski, D. J., & Wolpaw, J. R. (2009) · International review of neurobiology · doi:10.1016/s0074-7742(09)86011-x · Cited by 25 · see citing works
Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy
Vidaurre, C., Sannelli, C., Müller, K., & Blankertz, B. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13769-3_50 · Cited by 20 · see citing works
Self-citationThe functional significance of ERP effects during mental rotation
Heil, M. (2002) · Psychophysiology · doi:10.1017/s0048577202020449 · Cited by 16 · see citing works
Unsupervised adaptation of the LDA classifier for Brain-Computer Interfaces
Vidaurre, C., Schlögl, A., Blankertz, B., Kawanabe, M., & Müller, K.-R. (2008) · Cited by 13 · see citing works
Self-citationPracticing fast-decision BCI using a "goalkeeper" paradigm
Ramsey, L., Tangermann, M., Haufe, S., & Blankertz, B. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-s1-p69 · Cited by 11 · see citing works
Self-citationEmpowering People Rather Than Connecting Them
Murray‐Smith, R. (2009) · International Journal of Mobile Human Computer Interaction · doi:10.4018/jmhci.2009070103 · Cited by 8 · see citing works
Parieto-occipital alpha power indexes distraction during simulated car driving
Schubert, R., Tangermann, M., Haufe, S., Sannelli, C., Simon, M., Schmidt, E. A., Kincses, W. E., & Curio, G. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.05.033 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
4 of the 155 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Kübler A. Furdea A. Halder S. Hösle A. (2008). “Brain painting – BCI meets art,” in Proceedings of the 4th International Brain–Computer Interface Workshop and Training Course 2008, eds Müller-Putz G. R. Brunner C. Leeb R. Pfurtscheller G. Neuper C. (Graz: Verlag der Technischen Universität), 361– 366
- Maeder C. Sannelli C. Haufe S. Lemm S. Blankertz B. (2010). “Effect of prestimulus SMR amplitude on BCI performance,” in Poster at the TOBI Workshop ‘Integrating Brain–Computer Interfaces with Conventional Assistive Technology’, Graz.
- Sturm I. Curio G. Blankertz B. (2010). “Single-trial ERP analysis reveals unconsciously perceived structures of music,” in Poster at the TOBI Workshop ‘Integrating Brain–Computer Interfaces with Conventional Assistive Technology, Graz
- Tangermann M. Krauledat M. Grzeska K. Sagebaum M. Blankertz B. Vidaurre C. Müller K.-R. (2009). Playing Pinball with Non-Invasive BCI, in Advances in Neural Information Processing Systems, Vol. 21 (Cambridge, MA: MIT Press), 1641– 1648
- Vidaurre C. Sannelli C. Müller K.-R. Blankertz B. (2010). Machine-learning based Co-adaptive calibration. Neural Comput. (in press). 21162666
Cited by
Sorted by citations
EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces
Lawhern, V. J., Solon, A. J., Waytowich, N. R., Gordon, S. M., Hung, C. P., & Lance, B. J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aace8c · Cited by 5,115 · see citing works
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143 · see citing works
Review of the BCI Competition IV
Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., et al. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00055 · Cited by 1,288 · see citing works
Self-citationVisual and Auditory Brain–Computer Interfaces
Gao, S., Wang, Y., Gao, X., & Hong, B. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2300164 · Cited by 451 · see citing works
Estimating workload using EEG spectral power and ERPs in the n-back task
Brouwer, A.-M., Hogervorst, M. A., van Erp, J. B. F., Heffelaar, T., Zimmerman, P. H., & Oostenveld, R. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/045008 · Cited by 407 · see citing works
Lotte, F. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2404941 · Cited by 327 · see citing works
Robust artifactual independent component classification for BCI practitioners
Winkler, I., Brandl, S., Horn, F., Waldburger, E., Allefeld, C., & Tangermann, M. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/035013 · Cited by 328 · see citing works
Self-citationOpen Access Dataset for EEG+NIRS Single-Trial Classification
Shin, J., von Lühmann, A., Blankertz, B., Kim, D.-W., Jeong, J., Hwang, H., & Müller, K. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2628057 · Cited by 283 · see citing works
Self-citationDoherty, K., & Doherty, G. J. (2018) · ACM Computing Surveys · doi:10.1145/3234149 · Cited by 272 · see citing works
Aricò, P., Borghini, G., Flumeri, G. D., Colosimo, A., Bonelli, S., Golfetti, A., Pozzi, S., Imbert, J.-P., Granger, G., Benhacène, R., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00539 · Cited by 251 · see citing works
Fineberg, N. A., Menchón, J. M., Hall, N., Dell’Osso, B. M., Brand, M., Potenza, M. N., Chamberlain, S. R., Cirnigliaro, G., Löchner, C., Billieux, J., et al. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2022.152346 · Cited by 253 · see citing works
EEG potentials predict upcoming emergency brakings during simulated driving
Haufe, S., Treder, M. S., Gugler, M. F., Sagebaum, M., Curio, G., & Blankertz, B. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/5/056001 · Cited by 229 · see citing works
Self-citationBatistič, S., & van der Laken, P. A. (2019) · British Journal of Management · doi:10.1111/1467-8551.12340 · Cited by 230 · see citing works
Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
Shin, J., von Lühmann, A., Kim, D.-W., Mehnert, J., Hwang, H.-J., & Müller, K. (2018) · Scientific Data · doi:10.1038/sdata.2018.3 · Cited by 218 · see citing works
Self-citationThe Berlin Brain-Computer Interface: Progress Beyond Communication and Control
Blankertz, B., Acqualagna, L., Dähne, S., Haufe, S., Schultze-Kraft, M., Sturm, I., Ušćumlić, M., Wenzel, M. A., Curio, G., & Müller, K. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00530 · Cited by 204 · see citing works
Self-citationJeon, Y., Nam, C. S., Kim, Y., & Whang, M. C. (2011) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2011.03.005 · Cited by 197 · see citing works
Brain-Computer Interfacing: An Introduction
Rao, R. P. N. (2019) · Cited by 181 · see citing works
Witte, M., Kober, S. E., Ninaus, M., Neuper, C., & Wood, G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00478 · Cited by 166 · see citing works
A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes
Chen, Y., Atnafu, A. D., Schlattner, I., Wendimagegn, T. W., Roh, M.-C., Kim, H. J., Lee, S., Blankertz, B., & Fazli, S. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2577551 · Cited by 165 · see citing works
Self-citationTo train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs
Zerafa, R., Camilleri, T. A., Falzon, O., & Camilleri, K. P. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaca6e · Cited by 160 · see citing works
Muller-Putz, G. R., Leeb, R., Tangermann, M., Höhne, J., Kübler, A., Febo Cincotti, A., Donatella Mattia, A., Rupp, R., Müller, K., & Millán, J. D. R. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2411333 · Cited by 158 · see citing works
Self-citationA novel 9-class auditory ERP paradigm driving a predictive text entry system
Höhne, J. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00099 · Cited by 158 · see citing works
von Lühmann, A., Wabnitz, H., Sander, T. H., & Müller, K. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2594127 · Cited by 155 · see citing works
Self-citationA Dry EEG-System for Scientific Research and Brain–Computer Interfaces
Zander, T. O., Lehne, M., Ihme, K. A., Jatzev, S., Correia, J., Kothe, C. A., Picht, B., & Nijboer, F. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00053 · Cited by 152 · see citing works
Listen, You are Writing! Speeding up Online Spelling with a Dynamic Auditory BCI
Schreuder, M., Rost, T., & Tangermann, M. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00112 · Cited by 150 · see citing works
Self-citationJiang, N., Gizzi, L., Mrachacz‐Kersting, N., Dremstrup, K., & Farina, D. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.003 · Cited by 144 · see citing works
Aricò, P., Borghini, G., Di Flumeri, G., Colosimo, A., Pozzi, S., & Babiloni, F. (2016) · Progress in Brain Research · doi:10.1016/bs.pbr.2016.04.021 · Cited by 145 · see citing works
Electrophysiology-based detection of emergency braking intention in real-world driving
Haufe, S., Kim, J.-W., Kim, I.-H., Sonnleitner, A., Schrauf, M., Curio, G., & Blankertz, B. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056011 · Cited by 139 · see citing works
Self-citationRoy, R. N., Bonnet, S., Charbonnier, S., & Campagne, A. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611070 · Cited by 138 · see citing works
The Smartphone Brain Scanner: A Portable Real-Time Neuroimaging System
Stopczynski, A., Stahlhut, C., Larsen, J. E., Petersen, M. K., & Hansen, L. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086733 · Cited by 130 · see citing works
Current trends in hardware and software for brain–computer interfaces (BCIs)
Brunner, P., Bianchi, L., Guger, C., Febo Cincotti, A., & Schalk, G. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/2/025001 · Cited by 126 · see citing works
Gateau, T., Ayaz, H., & Dehais, F. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00187 · Cited by 124 · see citing works
Analysis of EEG Signals using Nonlinear Dynamics and Chaos: A review
Garc, P. J., & Lopez, C. C. (2015) · Cited by 122 · see citing works
von Lühmann, A., Ortega‐Martínez, A., Boas, D. A., & Yücel, M. A. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00030 · Cited by 121 · see citing works
Lee, D.-H., Jeong, J.-H., Kim, K., Yu, B.-W., & Lee, S. (2020) · IEEE Access · doi:10.1109/access.2020.3006907 · Cited by 116 · see citing works
A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges
Yadav, D., Yadav, S., & Veer, K. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108918 · Cited by 118 · see citing works
Xie, X., Yu, Z. L., Lu, H., Gu, Z., & Li, Y. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2587939 · Cited by 111 · see citing works
Jeong, J.-H., Kwak, N.-S., Guan, C., & Lee, S.-W. (2020) · IEEE transactions on neural systems and rehabilitation engineering · doi:10.1109/tnsre.2020.2966826 · Cited by 102 · see citing works
Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces
Won, D.-O., Hwang, H.-J., Kim, D., Müller, K., & Lee, S. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2736600 · Cited by 106 · see citing works
Self-citationKorik, A., Sosnik, R., Siddique, N. H., & Coyle, D. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00130 · Cited by 100 · see citing works
Jeong, J.-H., Yu, B.-W., Lee, D.-H., & Lee, S. (2019) · Brain Sciences · doi:10.3390/brainsci9120348 · Cited by 102 · see citing works
Kindermans, P.-J., Tangermann, M., Müller, K., & Schrauwen, B. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/035005 · Cited by 98 · see citing works
Self-citationElectroencephalography ( EEG )‐Based Brain–Computer Interfaces
Lotte, F., Bougrain, L., & Clerc, M. (2015) · Wiley eBooks · doi:10.1002/047134608x.w8278 · Cited by 102 · see citing works
Adapting the P300-Based Brain–Computer Interface for Gaming: A Review
Kaplan, A., Shishkin, S. L., Ganin, I. P., Basyul, I. A., & Zhigalov, A. (2013) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2012.2237517 · Cited by 97 · see citing works
Effects of Enactment in Episodic Memory: A Pilot Virtual Reality Study with Young and Elderly Adults
Jebara, N., Orriols, É., Zaoui, M., Berthoz, A., & Piolino, P. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00338 · Cited by 95 · see citing works
Schreuder, M., Höhne, J., Blankertz, B., Haufe, S., Dickhaus, T., & Tangermann, M. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/3/036025 · Cited by 94 · see citing works
Self-citationDeep Temporal-Spatial Feature Learning for Motor Imagery-Based Brain–Computer Interfaces
Chen, J., Yu, Z., Gu, Z., & Li, Y. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.3023417 · Cited by 91 · see citing works
Friedrich, E. V. C., Neuper, C., & Scherer, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076214 · Cited by 88 · see citing works
Zander, T. O., Andreessen, L. M., Berg, A., Bleuel, M., Pawlitzki, J., Zawallich, L., Krol, L. R., & Gramann, K. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00078 · Cited by 88 · see citing works
Fazli, S., Dähne, S., Samek, W., Bieszmann, F., & Müller, K. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2413993 · Cited by 87 · see citing works
Self-citationHöhne, J., Holz, E., Staiger-Sälzer, P., Müller, K.-R., Kübler, A., & Tangermann, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104854 · Cited by 85 · see citing works
Self-citationFramework for Electroencephalography-based Evaluation of User Experience
Frey, J., Daniel, M., Castet, J., Hachet, M., & Lotte, F. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858525 · Cited by 82 · see citing works
Dimitriadis, S. I., Sun, Y., Kwok, K., Laskaris, N., Thakor, N. V., & Bezerianos, A. (2014) · Annals of Biomedical Engineering · doi:10.1007/s10439-014-1143-0 · Cited by 84 · see citing works
Fager, S. K., Beukelman, D. R., Fried-Oken, M. B., Jakobs, T., & Baker, J. (2012) · Assistive Technology · doi:10.1080/10400435.2011.648712 · Cited by 83 · see citing works
Waytowich, N. R., Lawhern, V. J., Bohannon, A. W., Ball, K. R., & Lance, B. J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00430 · Cited by 79 · see citing works
Jeong, J.-H., Cho, J.-H., Shim, K.-H., Kwon, B.-H., Lee, B.-H., Lee, D.-Y., Lee, D.-H., & Lee, S. (2020) · GigaScience · doi:10.1093/gigascience/giaa098 · Cited by 79 · see citing works
Brain communication in the locked-in state
Massari, D. D., Ruf, C. A., Furdea, A., Matuz, T., van der Heiden, L., Halder, S., Silvoni, S., & Birbaumer, N. (2013) · Brain · doi:10.1093/brain/awt102 · Cited by 77 · see citing works
Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction
Frey, J., Mühl, C., Lotte, F., & Hachet, M. (2014) · International Conference on Physiological Computing Systems (PhyCS) · doi:10.5220/0004708102140223 · Cited by 76 · see citing works
The coordination dynamics of social neuromarkers
Tognoli, E., & Kelso, J. A. S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00563 · Cited by 74 · see citing works
Tsuchimoto, S., Shibusawa, S., Iwama, S., Hayashi, M., Okuyama, K., Mizuguchi, N., Kato, K. H., & Ushiba, J. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109089 · Cited by 75 · see citing works
A Novel Multimodal Approach for Hybrid Brain–Computer Interface
Sun, Z., Huang, Z., Duan, F., & Liu, Y. (2020) · IEEE Access · doi:10.1109/access.2020.2994226 · Cited by 74 · see citing works
Analyzing Speech Quality Perception Using Electroencephalography
Voigt‐Antons, J., Schleicher, R., Arndt, S., Möller, S., Porbadnigk, A. K., & Curio, G. (2012) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2012.2191936 · Cited by 74 · see citing works
Self-citationShin, J., Müller, K.-R., & Hwang, H.-J. (2016) · Scientific Reports · doi:10.1038/srep36203 · Cited by 73 · see citing works
Self-citationWhat is it like to use a BCI? – insights from an interview study with brain-computer interface users
Kögel, J., Jox, R. J., & Friedrich, O. (2020) · BMC Medical Ethics · doi:10.1186/s12910-019-0442-2 · Cited by 73 · see citing works
Ahn, H.-J., Lee, D.-H., Jeong, J.-H., & Lee, S. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3229330 · Cited by 72 · see citing works
Exploring dimensionality reduction of EEG features in motor imagery task classification
García-Laencina, P. J., Rodríguez-Bermúdez, G., & Roca‐Dorda, J. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.02.043 · Cited by 70 · see citing works
Rodríguez-Bermúdez, G., & García-Laencina, P. J. (2012) · Journal of Medical Systems · doi:10.1007/s10916-012-9893-4 · Cited by 68 · see citing works
Unleashing the future potential of functional near-infrared spectroscopy in brain sciences
Cutini, S., & Brigadoi, S. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.05.024 · Cited by 70 · see citing works
Wascher, E., Reiser, J. E., Rinkenauer, G., Larra, M. F., Dreger, F. A., Schneider, D. A., Karthaus, M., Getzmann, S., Gutberlet, M., & Arnau, S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211007707 · Cited by 66 · see citing works
EEG predictors of covert vigilant attention
Martel, A., Dähne, S., & Blankertz, B. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/035009 · Cited by 65 · see citing works
Self-citationEEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning
Cao, J. H., Garro, E. M., & Zhao, Y. (2022) · Sensors · doi:10.3390/s22197623 · Cited by 65 · see citing works
Nuamah, J. K., & Seong, Y. (2017) · Brain-Computer Interfaces · doi:10.1080/2326263x.2017.1338012 · Cited by 65 · see citing works
Estimation of task workload from EEG data: New and current tools and perspectives
Kothe, C. A., & Makeig, S. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091615 · Cited by 64 · see citing works
Jensen, O. B., Bahramisharif, A., Oostenveld, R., Klanke, S., Hadjipapas, A., Okazaki, Y. O., & van Gerven, M. A. J. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00100 · Cited by 62 · see citing works
Opening up the Design Space of Neurofeedback Brain--Computer Interfaces for Children
Antle, A. N., Chesick, L., & McLaren, E.-S. (2017) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3131607 · Cited by 59 · see citing works
Performance enhancement of a brain-computer interface using high-density multi-distance NIRS
Shin, J., Kwon, J., Choi, J., & Im, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-16639-0 · Cited by 59 · see citing works
Banville, H. J., & Falk, T. H. (2016) · Brain-Computer Interfaces · doi:10.1080/2326263x.2015.1134958 · Cited by 58 · see citing works
Interfacing to the brain’s motor decisions
Mirabella, G., & Lebedev, M. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00051.2016 · Cited by 55 · see citing works
2020 International brain–computer interface competition: A review
Jeong, J.-H., Cho, J.-H., Lee, Y.-E., Lee, S., Shin, G.-H., Kweon, Y.-S., Millán, J. D. R., Müller, K., & Lee, S.-W. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.898300 · Cited by 53 · see citing works
Self-citationAdvanced Electrode Technologies for Noninvasive Brain–Computer Interfaces
Lin, S., Jiang, J., Huang, K., Li, L., He, X., Du, P. Y., Wu, Y., Liu, J., Li, X., Huang, Z., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c06781 · Cited by 52 · see citing works
An Online Semi-supervised Brain–Computer Interface
Gu, Z., Yu, Z., Shen, Z., & Li, Y. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2261994 · Cited by 53 · see citing works
Callan, D. E., Durantin, G., & Terzibas, C. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00011 · Cited by 52 · see citing works
Optical brain imaging and its application to neurofeedback
Soekadar, S. R., Kohl, S. H., Mihara, M., & von Lühmann, A. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102577 · Cited by 50 · see citing works
Nour, M., Öztürk, Ş., & Polat, K. (2021) · Neural Computing and Applications · doi:10.1007/s00521-021-06202-4 · Cited by 49 · see citing works
Gurel, N. Z., Jung, H., Hersek, S., & Inan, O. T. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2872651 · Cited by 47 · see citing works
A Computationally Efficient Method for Hybrid EEG‐fNIRS BCI Based on the Pearson Correlation
Hasan, M. A. H., Khan, M. U., & Mishra, D. (2020) · BioMed Research International · doi:10.1155/2020/1838140 · Cited by 47 · see citing works
Lin, Y., Wang, Y., Wei, C.-S., & Jung, T. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00182 · Cited by 46 · see citing works
A wearable UHF RFID-based EEG system
Dementyev, A., & Smith, J. R. (2013) · IEEE International Conference on RFID · doi:10.1109/rfid.2013.6548128 · Cited by 45 · see citing works
Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals
Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S., & Rezvani, M. (2020) · IET Signal Processing · doi:10.1049/iet-spr.2019.0297 · Cited by 45 · see citing works
The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning
Li, M., Li, F., Pan, J., Zhang, D., Zhao, S., Li, J., & Wang, F. (2021) · Sensors · doi:10.3390/s21051613 · Cited by 45 · see citing works
Hübner, D., Verhoeven, T., Schmid, K., Müller, K., Tangermann, M., & Kindermans, P.-J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175856 · Cited by 44 · see citing works
Self-citationAffective Gaming: A Comprehensive Survey
Kotsia, I., Zafeiriou, S. P., & Fotopoulos, S. (2013) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2013.100 · Cited by 43 · see citing works
Unsupervised classification of operator workload from brain signals
Schultze-Kraft, M., Dähne, S., Gugler, M. F., Curio, G., & Blankertz, B. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/036008 · Cited by 42 · see citing works
Self-citationAutonomy and the Unintended Legal Consequences of Emerging Neurotherapies
Chandler, J. A. (2011) · Neuroethics · doi:10.1007/s12152-011-9109-5 · Cited by 41 · see citing works
Single-trial analysis of the neural correlates of speech quality perception
Porbadnigk, A. K., Treder, M. S., Blankertz, B., Voigt‐Antons, J., Schleicher, R., Möller, S., Curio, G., & Müller, K. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056003 · Cited by 41 · see citing works
Self-citationAlimardani, F., Boostani, R., & Blankertz, B. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.02.014 · Cited by 40 · see citing works
Self-citationHossain, I., Khosravi, A., Hettiarachchi, I. T., & Nahavandi, S. (2018) · Computational Intelligence and Neuroscience · doi:10.1155/2018/6323414 · Cited by 39 · see citing works
Antle, A. N., Chesick, L., Sridharan, S. K., & Cramer, E. S. (2018) · Personal and Ubiquitous Computing · doi:10.1007/s00779-018-1166-x · Cited by 40 · see citing works
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms
Lee, D.-H., Jeong, J.-H., Ahn, H.-J., & Lee, S. (2021) · International Winter Conference on Brain-Computer Interface (BCI) · doi:10.1109/bci51272.2021.9385356 · Cited by 40 · see citing works
Zich, C., Debener, S., Vos, M. D., Frerichs, S., Maurer, S., & Kranczioch, C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.009 · Cited by 38 · see citing works
- Authors
- Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., & Müller, K.-R.
- Affiliations
- Fraunhofer Institute for Open Communication Systems (DE)
- Technische Universität Berlin (DE)
- Utrecht University (NL)
- Charité – Universitätsmedizin Berlin (DE)
- Corresponding author
- Blankertz, Benjamin
- ORCID
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2010
- Volume
- 4
- Pages
- 198-198
- ISSN
- 1662-453X (ISSN-L)
- 1662-4548
- PMC
- PMC3002462
- OpenAlex
- W1969715890
- Cited by
- 357
- References
- 155
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 13 · 2023: 20 · 2022: 18 · 2021: 28 · 2020: 30 · 2019: 20 · 2018: 32 · 2017: 32 · 2016: 32 · 2015: 22 · 2014: 33 · 2013: 24 · 2012: 14
- FWCI
- 10.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- brain-computer interface, mental state monitoring, healthy volunteers, usability, ease of use, control latency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review