Classification By Electroencephalography Patterns

Classification By Electroencephalography Patterns is a methodological framework within epilepsy classification that categorizes seizure types and epileptic syndromes based on distinctive electrophysiological signatures identified through electroencephalographic recordings.

351

Publications

19.3K

Citations

1.4K

Authors

627

Institutions

Publications per year

2017–2026

155

Authors

1.4K

  1. GM
    Gernot Müller-Putz

    Graz University of Technology, Austria

    7 publications · 967 citations

    7

    h-index

  2. HR
    Harikumar Rajaguru

    Korea University, South Korea

    6 publications · 85 citations

    6

    h-index

  3. SK
    Sunil Kumar Prabhakar

    Korea University, South Korea

    5 publications · 75 citations

    5

    h-index

  4. RB
    Reza Boostani

    Shiraz University, Iran

    4 publications · 265 citations

    4

    h-index

  5. MF
    Mohd Fairuz Shiratuddin

    Murdoch University, Australia

    4 publications · 111 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. Biomedical Signal Processing and Control

    12 publications · 484 citations

    12

    h-index

  2. Epilepsia

    13 publications · 1.8K citations

    12

    h-index

  3. Clinical Neurophysiology

    10 publications · 708 citations

    10

    h-index

  4. Expert Systems with Applications

    9 publications · 422 citations

    9

    h-index

  5. Computers in Biology and Medicine

    8 publications · 574 citations

    8

    h-index

1–5