Brain-Computer Interface Classification is a computational process within brain-computer interface systems that specifically identifies and categorizes distinct neural signal patterns into predefined command classes to enable direct communication or control between the brain and external devices.
1.4K
Publications
94.2K
Citations
3.8K
Authors
1.3K
Institutions
Publications per year
2017–2026
699
Variants
Bci Classification
Publications
1.4K
Motor imagery and direct brain-computer communication
G. Pfurtscheller, Christa Neuper · Proceedings of the IEEE · 2001 · 1.9K citations
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Kai Keng Ang, Zheng Yang Chin, Haihong Zhang et al. · 2008 · 1.4K citations
1–5 of 1.4K
Authors
3.8K
- CG
26
h-index
- BB
25
h-index
- NB
19
h-index
- KK
19
h-index
- KM
18
h-index
1–5 of 3.8K
Institutions
1.3K
Graz University of Technology
Graz, Austria
35 h-index
128 publications
33.9K citations
Technische Universität Berlin
Berlin, Germany
25 h-index
96 publications
8.7K citations
University of Tübingen
Tübingen, Germany
24 h-index
108 publications
13.5K citations
Institute for Infocomm Research
Singapore, Singapore
24 h-index
114 publications
22.7K citations
University of Essex
Colchester, United Kingdom
24 h-index
68 publications
3.2K citations
Korea University
Seoul, South Korea
23 h-index
73 publications
4K citations
Tsinghua University
Beijing, China
22 h-index
110 publications
6.4K citations
Agency for Science, Technology and Research
Singapore, Singapore
21 h-index
78 publications
19.1K citations
1–8 of 1.3K
Venues
- Journal of Neural Engineering
124 publications · 13.2K citations
54
h-index
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
101 publications · 9.6K citations
52
h-index
- IEEE Transactions on Biomedical Engineering
39 publications · 8.1K citations
33
h-index
- PLoS ONE
35 publications · 2.4K citations
27
h-index
- IEEE Access
43 publications · 1.6K citations
24
h-index
1–5