Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfaces Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1063/5.0047237
Brain–computer interfaces (BCIs) provide bidirectional communication between the brain and output devices that translate user intent into function. Among the different brain imaging techniques used to operate BCIs, electroencephalography (EEG) constitutes the preferred method of choice, owing to its relative low cost, ease of use, high temporal resolution, and noninvasiveness. In recent years, significant progress in wearable technologies and computational intelligence has greatly enhanced the performance and capabilities of EEG-based BCIs (eBCIs) and propelled their migration out of the laboratory and into real-world environments. This rapid translation constitutes a paradigm shift in human–machine interaction that will deeply transform different industries in the near future, including healthcare and wellbeing, entertainment, security, education, and marketing. In this contribution, the state-of-the-art in wearable biosensing is reviewed, focusing on the development of novel electrode interfaces for long term and noninvasive EEG monitoring. Commercially available EEG platforms are surveyed, and a comparative analysis is presented based on the benefits and limitations they provide for eBCI development. Emerging applications in neuroscientific research and future trends related to the widespread implementation of eBCIs for medical and nonmedical uses are discussed. Finally, a commentary on the ethical, social, and legal concerns associated with this increasingly ubiquitous technology is provided, as well as general recommendations to address key issues related to mainstream consumer adoption.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0047237
- https://aip.scitation.org/doi/pdf/10.1063/5.0047237
- OA Status
- gold
- Cited By
- 73
- References
- 180
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3185523369Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1063/5.0047237Digital Object Identifier
- Title
-
Mind the gap: State-of-the-art technologies and applications for EEG-based brain–computer interfacesWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-20Full publication date if available
- Authors
-
Roberto Portillo‐Lara, Islam Bogachan Tahirbegi, Christopher A. R. Chapman, Josef Goding, Rylie A. GreenList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0047237Publisher landing page
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-
https://aip.scitation.org/doi/pdf/10.1063/5.0047237Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://aip.scitation.org/doi/pdf/10.1063/5.0047237Direct OA link when available
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Electroencephalography, Brain–computer interface, Computer science, Wearable computer, Entertainment, Human–computer interaction, Mainstream, Key (lock), Usability, Data science, Computer security, Psychology, Neuroscience, Theology, Philosophy, Art, Embedded system, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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73Total citation count in OpenAlex
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-
2025: 18, 2024: 16, 2023: 19, 2022: 17, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
180Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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