Multimodal Brain-computer Interfaces
Multimodal Brain-Computer Interfaces is a brain-computer interface system that integrates multiple neurophysiological modalities or input signals from the brain and peripheral physiological sources to enhance communication, control, or interaction capabilities beyond unimodal approaches.
130
Publications
6.7K
Citations
544
Authors
224
Institutions
Publications per year
2017–2026
58
Variants
Multimodal BciMultimodal Bcis
Parents
130
David P. McMullen, Guy Hotson, Kapil D. Katyal et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2014 · 190 citations · Full text
Martin Rohm, Matthias Schneiders, Constantin Müller et al. · Artificial Intelligence in Medicine · 2013 · 189 citations · Full text
Classifying phonological categories in imagined and articulated speech
Shunan Zhao, Frank Rudzicz · 2015 · 178 citations
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224

University of Twente
Enschede, The Netherlands
8 h-index
18 publications
519 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
11 publications
401 citations
Technische Universität Berlin
Berlin, Germany
6 h-index
19 publications
2.5K citations
Tsinghua University
Beijing, China
5 h-index
22 publications
858 citations

Nankai University
Tianjin, China
5 h-index
18 publications
1.3K citations
Graz University of Technology
Graz, Austria
5 h-index
15 publications
1.1K citations
Korea University
Seoul, South Korea
4 h-index
13 publications
1.4K citations
Tianjin University
Tianjin, China
4 h-index
11 publications
773 citations
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10 publications · 792 citations
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5 publications · 571 citations
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4 publications · 376 citations
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5 publications · 165 citations
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Repository · 3 publications · 61 citations
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