The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system
Abstract
A brain-computer interface (BCI) system may allow a user to communicate by selecting one of many options. These options may be presented in a matrix. Larger matrices allow a larger vocabulary, but require more time for each selection. In this study, subjects were asked to perform a target detection task using matrices appropriate for a BCI. The study sought to explore the relationship between matrix size and EEG measures, target detection accuracy, and user preferences. Results indicated that larger matrices evoked a larger P300 amplitude, and that matrix size did not significantly affect performance or preferences.
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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
Dynamic Brain Sources of Visual Evoked Responses
Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630
Johnson, R. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00649.x · Cited by 960
Cited by
Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r03 · Cited by 907
A comparison of classification techniques for the P300 Speller
Krusienski, D. J., Sellers, E. W., Cabestaing, F., Bayoudh, S., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/4/007 · Cited by 762
Townsend, G., LaPallo, B. K., Boulay, C. B., Krusienski, D. J., Frye, G. E., Hauser, C. K., Schwartz, N. E., Vaughan, T. M., Wolpaw, J. R., & Sellers, E. W. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.01.030 · Cited by 570
“This relationship is found in standard oddball experiments (e.g., Duncan-Johnson and Donchin, 1977) and also in BCI applications (Allison and Pineda, 2003; Sellers et al., 2006).”
MethodResultRiemannian 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
Flashing characters with famous faces improves ERP-based brain–computer interface performance
Kaufmann, T., Schulz, S. M., Grünzinger, C., & Kübler, A. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/5/056016 · Cited by 300
Metadata
- Authors
- Allison, B. Z., & Pineda, J. A.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2003-06
- Volume
- 11
- Issue
- 2
- Pages
- 110-113
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2160722169
- Cited by
- 225
- References
- 3
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Allison, B. Z., & Pineda, J. A. (2003). ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2003.814448
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