The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A high-speed BCI based on code modulation VEP
Open accessAbstract
Recently, electroencephalogram-based brain-computer interfaces (BCIs) have attracted much attention in the fields of neural engineering and rehabilitation due to their noninvasiveness. However, the low communication speed of current BCI systems greatly limits their practical application. In this paper, we present a high-speed BCI based on code modulation of visual evoked potentials (c-VEP). Thirty-two target stimuli were modulated by a time-shifted binary pseudorandom sequence. A multichannel identification method based on canonical correlation analysis (CCA) was used for target identification. The online system achieved an average information transfer rate (ITR) of 108 ± 12 bits min(-1) on five subjects with a maximum ITR of 123 bits min(-1) for a single subject.
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Cites
Brain–computer interfaces for communication and control
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Bin, G., Gao, X., Yan, Z., Hong, B., & Gao, S. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/4/046002 · Cited by 773
Self-citationMultiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces
Friman, O., Volosyak, I., & Graser, A. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889160 · Cited by 541
Brain-Computer Interfaces Based on Visual Evoked Potentials
Wang, Y., Gao, X., Hong, B., Jia, C., & Gao, S. (2008) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.923958 · Cited by 423
Self-citationThe brain response interface: communication through visually-induced electrical brain responses
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EEG-based communication: improved accuracy by response verification
Wolpaw, J. R., Ramoser, H., McFarland, D. J., & Pfurtscheller, G. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.712231 · Cited by 396
VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier
Bin, G., Gao, X., Wang, Y., Hong, B., & Gao, S. (2009) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2009.934562 · Cited by 256
Self-citationTonet, O., Marinelli, M., Citi, L., Rossini, P. M., Rossini, L., Megali, G., & Dario, P. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.015 · Cited by 82
Cited by
Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
Congedo, M., Barachant, A., & Bhatia, R. (2017) · Brain-Computer Interfaces · doi:10.1080/2326263x.2017.1297192 · Cited by 456
Visual 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 449
Self-citationNakanishi, M., Wang, Y., Wang, Y.-T., & Jung, T.-P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140703 · Cited by 376
Self-citationMugler, E. M., Patton, J. L., Flint, R. D., Wright, Z. A., Schuele, S. U., Rosenow, J., Shih, J. J., Krusienski, D. J., & Slutzky, M. W. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/035015 · Cited by 192
Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI)
Wu, D., King, J.-T., Chuang, C.-H., Lin, C.-T., & Jung, T.-P. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2688423 · Cited by 116
Metadata
- Authors
- Bin, G., Gao, X., Wang, Y., Li, Y., Hong, B., & Gao, S.
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2011-03-24
- Volume
- 8
- Issue
- 2
- Pages
- 025015
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2081020044
- Cited by
- 305
- References
- 8
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bin, G., Gao, X., Wang, Y., Li, Y., Hong, B., & Gao, S. (2011). A high-speed BCI based on code modulation VEP. Journal of Neural Engineering. https://doi.org/10.1088/1741-2560/8/2/025015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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