Electroencephalogram Segmentation

Electroencephalogram Segmentation is a signal processing technique that partitions a continuous electroencephalogram signal into discrete, meaningful temporal intervals based on neurological events or cognitive states, enabling the analysis of specific brain activities within localized time frames.

103

Publications

5.3K

Citations

319

Authors

159

Institutions

Publications per year

2017–2026

24

Authors

319

  1. DL
    Dietrich Lehmann

    University Hospital of Zurich, Switzerland

    5 publications · 1.4K citations

    5

    h-index

  2. HA
    Hamed Azami

    University of Edinburgh, United Kingdom

    5 publications · 263 citations

    5

    h-index

  3. HH
    Hamid Hassanpour

    University of Shahrood, Iran

    4 publications · 115 citations

    4

    h-index

  4. SS
    Saeid Sanei

    University of Surrey, United Kingdom

    4 publications · 87 citations

    4

    h-index

  5. LN
    Laleh Najafizadeh

    Rutgers, The State University of New Jersey, United States

    4 publications · 68 citations

    4

    h-index

1–5 of 319

Venues

  1. 7

    h-index

  2. IEEE Transactions on Biomedical Engineering

    4 publications · 122 citations

    4

    h-index

  3. PLoS ONE

    3 publications · 159 citations

    3

    h-index

  4. International Journal of Psychophysiology

    3 publications · 337 citations

    3

    h-index

  5. Annals of Biomedical Engineering

    3 publications · 76 citations

    3

    h-index

1–5