The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Abstract
Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress. In response to this problem, we have developed a documented general-purpose BCI research and development platform called BCI2000. BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols. This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BC12000 system is based upon and gives examples of successful BCI implementations using this system. To date, we have used BCI2000 to create BCI systems for a variety of brain signals, processing methods, and applications. The data show that these systems function well in online operation and that BCI2000 satisfies the stringent real-time requirements of BCI systems. By substantially reducing labor and cost, BCI2000 facilitates the implementation of different BCI systems and other psychophysiological experiments. It is available with full documentation and free of charge for research or educational purposes and is currently being used in a variety of studies by many research groups.
Overview
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
Verification
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.
Citations
Cites
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
Self-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
Self-citationBrain oscillations control hand orthosis in a tetraplegic
Pfurtscheller, G., Guger, C., Müller, G., Krausz, G., & Neuper, C. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01471-3 · Cited by 472
Research works printed but not linked: 48
- 10.1016/0013-4694(88)90149-6 · DOI · Paper page
- 10.1016/0013-4694(91)90040-B · DOI · Paper page
- 10.1016/0745-7138(92)90045-7 · DOI · Paper page
- 10.3758/BF03327130 · DOI
- 10.1006/jmca.1993.1030 · DOI · Paper page
- 10.1007/s002210050617 · DOI · Paper page
- 10.1109/86.847815 · DOI · Paper page
- 10.1109/86.847823 · DOI · Paper page
- 10.1037//0033-2909.127.3.358 · DOI · Paper page
- 10.1109/TRE.2000.847807 · DOI · Paper page
- 10.1109/7333.918276 · DOI · Paper page
- Bayliss, 2001, A Flexible brain-computer interface
- Bianchi, 2003, Introducing BF++: A C++ framework for cognitive bio-feedback systems design, Meth. Inform. Med., 42, 102
- 10.1109/TNSRE.2003.810426 · DOI · Paper page
- 10.1016/0013-4694(80)90265-5 · DOI · Paper page
- 10.1016/0013-4694(80)90265-5 · DOI · Paper page
- Elbert, 1984, Springer-Verlag
- Perelmouter, 1999, Language support program for thought-translation-devices, Automedica, 18, 67
- 10.1109/86.847821 · DOI · Paper page
- 10.1109/86.847817 · DOI
- 10.1016/S0013-4694(97)00022-2 · DOI · Paper page
- 10.1073/pnas.94.20.10979 · DOI · Paper page
- 10.1109/86.895946 · DOI · Paper page
- 10.1016/S0920-1211(96)00082-4 · DOI
- Hinterberger, 1999, Entwicklung und Optimierung eines Gehirn-Computer-Interfaces mit langsamen Hirnpotentialen
- 10.3758/BF03200585 · DOI
- 10.1515/bmte.1997.42.9.226 · DOI
- 10.1023/A:1024685214655 · DOI
- 10.1109/86.847812 · DOI · Paper page
- Vaughan, 2001, EEG-based brain-computer-interface: Development of a speller, Soc. Neurosci. Abstr., 27, 167
- 10.1016/S0301-0511(03)00073-5 · DOI · Paper page
- Wolpaw, 2003, Two-dimensional movement control by scalp-recorded sensorimotor rhythms in humans, Abstract Viewer/Itinerary Planner, Soc. Neuroscience Abstr.
- 10.1023/A:1023437823106 · DOI · Paper page
- 10.1109/86.847808 · DOI · Paper page
- Pfurtscheller, 1999, EEG event-related desynchronization (ERD) and event-related synchronization (ERS), 958
- 10.1016/0013-4694(94)90135-X · DOI · Paper page
- 10.1016/S0013-4694(98)00107-2 · DOI
- 10.1109/86.847816 · DOI
- Sharbrough, 1991, American electroencephalographic society guidelines for standard electrode position nomenclature, Electroenceph. Clin. Neurophysiol., 8, 200
- Birbaumer, 1997, Slow cortical potentials: Their origin, meaning, and clinical use, 25
- 10.1038/203380a0 · DOI · Paper page
- 10.1126/science.150.3700.1187 · DOI · Paper page
- 10.1016/0013-4694(70)90124-0 · DOI
- Allison, 2003, P3 or Not P3: Toward a better P300 BCI
- 10.1016/S1388-2457(00)00457-0 · DOI · Paper page
- 10.1109/86.847809 · DOI · Paper page
- 10.1109/86.847813 · DOI
- Hinterberger, 2001, The thought translation device and its applications to the completely paralyzed
Cited by
Deep learning with convolutional neural networks for EEG decoding and visualization
Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F., Burgard, W., & Ball, T. (2017) · Human Brain Mapping · doi:10.1002/hbm.23730 · Cited by 3,751
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
Deep learning-based electroencephalography analysis: a systematic review
Roy, Y., Banville, H., Albuquerque, I., Gramfort, A., Falk, T. H., & Faubert, J. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab260c · Cited by 1,532
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Wolpaw, J. R., & McFarland, D. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403504101 · Cited by 1,512
Self-citationReview 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
Self-citation
Metadata
- Authors
- Schalk, G., McFarland, D. J., Hinterberger, T., Birbaumer, N., & Wolpaw, J. R.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2004-06
- Volume
- 51
- Issue
- 6
- Pages
- 1034-1043
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2151669316
- Cited by
- 3,024
- References
- 3
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.