The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients
Abstract
Using brain–computer interfaces (BCI) humans can select letters or other targets on a computer screen without any muscular involvement. An intensively investigated kind of BCI is based on the recording of visual event‐related brain potentials (ERP). However, some severely paralyzed patients who need a BCI for communication have impaired vision or lack control of gaze movement, thus making a BCI depending on visual input no longer feasible. In an effort to render the ERP–BCI usable for this group of patients, the ERP–BCI was adapted to auditory stimulation. Letters of the alphabet were assigned to cells in a 5 × 5 matrix. Rows of the matrix were coded with numbers 1 to 5, and columns with numbers 6 to 10, and the numbers were presented auditorily. To select a letter, users had to first select the row and then the column containing the desired letter. Four severely paralyzed patients in the end‐stage of a neurodegenerative disease were examined. All patients performed above chance level. Spelling accuracy was significantly lower with the auditory system as compared with a similar visual system. Patients reported difficulties in concentrating on the task when presented with the auditory system. In future studies, the auditory ERP–BCI should be adjusted by taking into consideration specific features of severely paralyzed patients, such as reduced attention span. This adjustment in combination with more intensive training will show whether an auditory ERP–BCI can become an option for visually impaired patients.
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Cites
A 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-citationA P300-based brain–computer interface for people with amyotrophic lateral sclerosis
Nijboer, F., Sellers, E. W., Mellinger, J., Jordan, M. A., Matuz, T., Furdea, A., Halder, S., Mochty, U., Krusienski, D. J., Vaughan, T. M., et al. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.03.034 · Cited by 633 · cited 2×
“28 On the other hand, the results of patient 4 indicate that even a low peak amplitude of around 1 μ V may be sufficient for above-chance classification.”
BackgroundSelf-citationKübler, A., & Birbaumer, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.06.019 · Cited by 441
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Cited by
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143
Brain–computer interfaces for communication and rehabilitation
Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928
A novel deep learning approach for classification of EEG motor imagery signals
Tabar, Y. R., & Halici, U. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2560/14/1/016003 · Cited by 859
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
“However, mean accuracy was 65.53% in this condition; thus this level of accuracy is not sufficient for effective communication, as 70% is typically assumed to be required (K} ubler et al., 2001, 2009; Sellers et al., 2006).”
BackgroundInfluentialVisual 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
Metadata
- Authors
- Kübler, A., Furdea, A., Halder, S., Hammer, E. M., Nijboer, F., & Kotchoubey, B.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2009-03
- Volume
- 1157
- Issue
- 1
- Pages
- 90-100
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W2163727886
- Cited by
- 303
- References
- 3
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kübler, A., Furdea, A., Halder, S., Hammer, E. M., Nijboer, F., & Kotchoubey, B. (2009). A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients. Annals of the New York Academy of Sciences. https://doi.org/10.1111/j.1749-6632.2008.04122.x
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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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