The DOI matches its Crossref record; 213 of the 213 references it cites were found in a registry or an index.
A Comprehensive Survey of Brain Interface Technology Designs
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Citations
Cites
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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
Designing the user interface: Strategies for effective human-computer interaction
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Shneiderman, B. (1987) · ACM SIGBIO Newsletter · doi:10.1145/25065.950626 · Cited by 2,798
Optimal spatial filtering of single trial EEG during imagined hand movement
Ramoser, H., Muller-Gerking, J., & Pfurtscheller, G. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.895946 · Cited by 2,457
Brain-computer interface technology: a review of the first international meeting
Wolpaw, J. R., Birbaumer, N., Heetderks, W. J., McFarland, D. J., Peckham, P. H., Schalk, G., Donchin, E., Quatrano, L. A., Robinson, C. J., & Vaughan, T. M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/tre.2000.847807 · Cited by 2,324
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761
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Research works printed but not linked: 10
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- Guger C., G. Müller, C. Neuper, G. Krausz, I. Niedermayer, G. Pfurtscheller. Brain–computer communication system: The EEG-based control of a hand orthesis in a quadriplegic patient. In Proc. 7th Int. Conf. on Computers Helping People with Special Needs, ICCHP 2000, 2000
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- Kostov, A. and M. Polak. Prospects of computer access using voluntary modulated EEG signal. In Proc. 1st Annual ECPD Symposium on Brain & Consciousness, pp. 233–236, 1997
- Mason, S.G. and G.E. Birch. Temporal control paradigms for direct brain interfaces – rethinking the definition of asynchronous and synchronous. In Proc. HCI International, Las Vegas, USA, 2005
- Mason, S. G., M. M. Moore and G. E. Birch. Designing pointing devices using Brain–Computer Interface Technology. In Proc. 1st Intl. IEEE EMBS Conference on Neural Engineering, Capri, Italy, pp. 610–613, 2003 · doi:10.1109/cne.2003.1196902
- McMillan, G. R. and G. L. Calhoun. Direct brain interface utilizing self-regulation of steady-state visual evoked response (SSVER). In Proc RESNA ‘95 Annual Conference, pp. 693–695, 1995
- Santos, T. O., R. Caetano, J. Moniz and A. C. Rosa. Classification of movement cognitive potentials from EEG. In Proc. first joint BMES/EMBS Conference, pp. 449, 1999 · doi:10.1109/iembs.1999.802527
- Schlögl, A., G. Pfurtscheller, B. Schack. Single-trial EEG analysis using an adaptive autoregressive model. In 4th International Symposium on Central Nervous Monitoring, 1996
Cited by
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
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
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Zhang, X., Yao, L., Wang, X., Monaghan, J., McAlpine, D., & Zhang, Y. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abc902 · Cited by 296
Waytowich, N., Lawhern, V. J., Garcia, J. O., Cummings, J., Faller, J., Sajda, P., & Vettel, J. M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae5d8 · Cited by 262
How Many People Could Use an SSVEP BCI?
Guger, C., Allison, B. Z., Großwindhager, B., Prückl, R., Hintermüller, C., Kapeller, C., Bruckner, M., Krausz, G., & Edlinger, G. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00169 · Cited by 176
Metadata
- Authors
- Mason, S. G., Bashashati, A., Fatourechi, M., Navarro, K. F., & Birch, G. E.
- Venue
- Annals of Biomedical Engineering
- Published
- 2006-11-18
- Volume
- 35
- Issue
- 2
- Pages
- 137-169
- ISSN
- 0090-6964 (ISSN-L)
- 1573-9686
- OpenAlex
- W2122342779
- Cited by
- 299
- References
- 213
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- CoChat. (2026). Citation check: A Comprehensive Survey of Brain Interface Technology Designs. https://app.cochat.ai/papers/10.1007/s10439-006-9170-0
- The paper
- Mason, S. G., Bashashati, A., Fatourechi, M., Navarro, K. F., & Birch, G. E. (2007). A Comprehensive Survey of Brain Interface Technology Designs. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-006-9170-0
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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.
