Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond Article Swipe
YOU?
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· 2015
· Open Access
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· DOI: https://doi.org/10.1109/jproc.2015.2411333
In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of BCI applications has been substantially enlarged. Indeed, today BCI technology cannot only translate brain signals directly into control signals, but also can combine such kind of artificial output with a natural muscle-based output. Thus, the integration of multiple biological signals for real-time interaction holds the promise to enhance a much larger population than originally thought â end users with preserved residual functions who could benefit from new generations of assistive technologies. A BCI system that combines a BCI with other physiological or technical signals is known as hybrid BCI (hBCI). In this work we review the work of a large scale integrated project funded by the European commission which was dedicated to develop practical hybrid BCIs and introduce them in various fields of applications. We present a hBCI framework, which was used in studies with non-impaired as well as end users with motor impairments.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jproc.2015.2411333
- https://ieeexplore.ieee.org/ielx7/5/7115196/07109824.pdf
- OA Status
- bronze
- Cited By
- 156
- References
- 96
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W1674182651
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W1674182651Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jproc.2015.2411333Digital Object Identifier
- Title
-
Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and BeyondWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-05-18Full publication date if available
- Authors
-
Gernot Müller-Putz, Robert Leeb, Michael Tangermann, Johannes Höhne, Andrea Kübler, Febo Cincotti, Donatella Mattia, Rüdiger Rupp, Klaus‐Robert Müller, José del R. MillánList of authors in order
- Landing page
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https://doi.org/10.1109/jproc.2015.2411333Publisher landing page
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https://ieeexplore.ieee.org/ielx7/5/7115196/07109824.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/5/7115196/07109824.pdfDirect OA link when available
- Concepts
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Brain–computer interface, Computer science, Multidisciplinary approach, Human–computer interaction, Motor control, Control (management), Artificial intelligence, Psychology, Electroencephalography, Neuroscience, Social science, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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156Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 8, 2023: 8, 2022: 8, 2021: 17Per-year citation counts (last 5 years)
- References (count)
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96Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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