Electroencephalography Feature Extraction
Electroencephalography Feature Extraction is the process of identifying and isolating discriminative neurophysiological patterns from raw electroencephalographic signals through computational or statistical techniques to facilitate downstream analysis in brain–computer interfacing, cognitive state classification, or neurological disorder diagnosis.
3.9K
Publications
212.7K
Citations
10.3K
Authors
2.7K
Institutions
Publications per year
2017–2026
2.1K
Parents
3.9K
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 3.9K
10.3K
34
h-index
33
h-index
31
h-index
27
h-index
Indian Institute of Information Technology Design and Manufacturing Jabalpur, India
31 publications · 2.4K citations
26
h-index
1–5 of 10.3K
2.7K
Nanyang Technological University
Singapore, Singapore
36 h-index
145 publications
9.1K citations

University of Essex
Colchester, United Kingdom
33 h-index
64 publications
4.5K citations

University of Southern Queensland
Toowoomba, Australia
31 h-index
93 publications
4.9K citations
Ngee Ann Polytechnic
Singapore, Singapore
30 h-index
58 publications
8K citations

University of Electronic Science and Technology of China
Chengdu, China
30 h-index
136 publications
11.5K citations
Tianjin University
Tianjin, China
29 h-index
220 publications
14.8K citations
Indian Institute of Information Technology Design and Manufacturing Jabalpur
Jabalpur, India
29 h-index
97 publications
6.2K citations
East China University of Science and Technology
Shanghai, China
29 h-index
141 publications
11.7K citations
1–8 of 2.7K
82 publications · 14.5K citations
52
h-index
98 publications · 9.1K citations
49
h-index
118 publications · 10.1K citations
46
h-index
111 publications · 6.3K citations
45
h-index
98 publications · 5.2K citations
42
h-index
1–5