Motor Imagery Classification

Motor Imagery Classification is a neural signal processing technique that categorizes electroencephalographic patterns associated with the mental simulation of motor actions without actual movement execution.

1.6K

Publications

97.5K

Citations

4.3K

Authors

1.4K

Institutions

Publications per year

2017–2026

1K

Authors

4.3K

  1. CG
    Cuntai Guan

    Institute for Infocomm Research, Singapore

    44 publications · 5.6K citations

    27

    h-index

  2. SL
    Seong–Whan Lee

    Korea University, South Korea

    25 publications · 2K citations

    21

    h-index

  3. KK
    Kai Keng Ang

    Institute for Infocomm Research, Singapore

    29 publications · 3K citations

    19

    h-index

  4. GP
    Girijesh Prasad

    University of Ulster, United Kingdom

    20 publications · 1.3K citations

    18

    h-index

  5. GM
    Gernot Müller-Putz

    Graz University of Technology, Austria

    19 publications · 1.2K citations

    17

    h-index

1–5 of 4.3K

Venues

  1. 50

    h-index

  2. Journal of Neural Engineering

    75 publications · 6.2K citations

    41

    h-index

  3. Biomedical Signal Processing and Control

    78 publications · 3.8K citations

    35

    h-index

  4. IEEE Access

    43 publications · 2.8K citations

    30

    h-index

  5. Sensors

    30 publications · 1.6K citations

    22

    h-index

1–5