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

Authors

10.3K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    44 publications · 4.5K citations

    34

    h-index

  2. AC
    Andrzej Cichocki

    RIKEN Center for Brain Science, Japan

    44 publications · 3.4K citations

    33

    h-index

  3. CG
    Cuntai Guan

    Institute for Infocomm Research, Singapore

    42 publications · 6.7K citations

    31

    h-index

  4. SS
    Siuly Siuly

    Victoria University, Australia

    32 publications · 2.2K citations

    27

    h-index

  5. VB
    Varun Bajaj

    Indian Institute of Information Technology Design and Manufacturing Jabalpur, India

    31 publications · 2.4K citations

    26

    h-index

1–5 of 10.3K

Venues

  1. IEEE Transactions on Biomedical Engineering

    82 publications · 14.5K citations

    52

    h-index

  2. 49

    h-index

  3. Journal of Neural Engineering

    118 publications · 10.1K citations

    46

    h-index

  4. IEEE Access

    111 publications · 6.3K citations

    45

    h-index

  5. Biomedical Signal Processing and Control

    98 publications · 5.2K citations

    42

    h-index

1–5