The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Asynchronous BCI control using high-frequency SSVEP
Open accessAbstract
BACKGROUND: Steady-State Visual Evoked Potential (SSVEP) is a visual cortical response evoked by repetitive stimuli with a light source flickering at frequencies above 4 Hz and could be classified into three ranges: low (up to 12 Hz), medium (12-30) and high frequency (> 30 Hz). SSVEP-based Brain-Computer Interfaces (BCI) are principally focused on the low and medium range of frequencies whereas there are only a few projects in the high-frequency range. However, they only evaluate the performance of different methods to extract SSVEP. METHODS: This research proposed a high-frequency SSVEP-based asynchronous BCI in order to control the navigation of a mobile object on the screen through a scenario and to reach its final destination. This could help impaired people to navigate a robotic wheelchair. There were three different scenarios with different difficulty levels (easy, medium and difficult). The signal processing method is based on Fourier transform and three EEG measurement channels. RESULTS: The research obtained accuracies ranging in classification from 65% to 100% with Information Transfer Rate varying from 9.4 to 45 bits/min. CONCLUSIONS: Our proposed method allows all subjects participating in the study to control the mobile object and to reach a final target without prior training.
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Cites
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
Vialatte, F.-B., Maurice, M., Dauwels, J., & Cichocki, A. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.11.005 · Cited by 1,066 · cited 2×
“SSVEPs are periodic, with a stationary distinct spectrum showing characteristic SSVEPs peaks, stable over time [2].”
Background
Cited by
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
Asynchronous gaze-independent event-related potential-based brain–computer interface
Aloise, F., Aricò, P., Schettini, F., Salinari, S., Mattia, D., & Cincotti, F. (2013) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2013.07.006 · Cited by 43
Metadata
- Authors
- Diez, P. F., Mut, V. A., Avila Perona, E. M., & Laciar Leber, E.
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2011
- Volume
- 8
- Issue
- 1
- Pages
- 39
- ISSN
- 1743-0003 (ISSN-L)
- OpenAlex
- W2075039042
- Cited by
- 212
- References
- 1
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Diez, P. F., Mut, V. A., Avila Perona, E. M., & Laciar Leber, E. (2011). Asynchronous BCI control using high-frequency SSVEP. Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/1743-0003-8-39
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