The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Evolving Signal Processing for Brain–Computer Interfaces
Abstract
Because of the increasing portability and wearability of noninvasive electrophysiological systems that record and process electrical signals from the human brain, automated systems for assessing changes in user cognitive state, intent, and response to events are of increasing interest. Brain-computer interface (BCI) systems can make use of such knowledge to deliver relevant feedback to the user or to an observer, or within a human-machine system to increase safety and enhance overall performance. Building robust and useful BCI models from accumulated biological knowledge and available data is a major challenge, as are technical problems associated with incorporating multimodal physiological, behavioral, and contextual data that may in the future be increasingly ubiquitous. While performance of current BCI modeling methods is slowly increasing, current performance levels do not yet support widespread uses. Here we discuss the current neuroscientific questions and data processing challenges facing BCI designers and outline some promising current and future directions to address them.
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Cited by
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Visual and Auditory Brain–Computer Interfaces
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BCILAB: a platform for brain–computer interface development
Kothe, C. A., & Makeig, S. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056014 · Cited by 412
Self-citationApplications of Artificial Intelligence in Machine Learning: Review and Prospect
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Metadata
- Authors
- Makeig, S., Kothe, C., Mullen, T., Bigdely-Shamlo, N., Zhang, Z., & Kreutz-Delgado, K.
- Venue
- Proceedings of the IEEE
- Published
- 2012-05
- Volume
- 100
- Issue
- Special Centennial Issue
- Pages
- 1567-1584
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2025252425
- Cited by
- 163
- References
- 24
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- Makeig, S., Kothe, C., Mullen, T., Bigdely-Shamlo, N., Zhang, Z., & Kreutz-Delgado, K. (2012). Evolving Signal Processing for Brain–Computer Interfaces. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2012.2185009
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