Arousal Detection

Arousal Detection is a computational method in sleep signal analysis that identifies transient shifts in central nervous system activity during sleep by distinguishing brief episodes of increased electroencephalogram (EEG) frequency and amplitude characteristic of partial awakenings from stable sleep stages.

315

Publications

17.7K

Citations

1.2K

Authors

532

Institutions

Publications per year

2017–2026

145

Authors

1.2K

  1. BL
    Bao‐Liang Lu

    Shanghai Jiao Tong University, China

    4 publications · 549 citations

    4

    h-index

  2. DÁ
    Diego Álvarez-Estévez

    Universidade da Coruña, Spain

    4 publications · 144 citations

    4

    h-index

  3. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    4 publications · 107 citations

    4

    h-index

  4. FK
    Felix Klotzsche

    Humboldt-Universität zu Berlin, Germany

    3 publications · 140 citations

    3

    h-index

  5. UH
    Ulrich Hegerl

    Leipzig University, Germany

    3 publications · 96 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. SLEEP

    20 publications · 2.7K citations

    17

    h-index

  2. Computing in cardiology

    9 publications · 331 citations

    9

    h-index

  3. PubMed

    Repository · 8 publications · 1.1K citations

    8

    h-index

  4. Expert Systems with Applications

    6 publications · 854 citations

    6

    h-index

  5. IEEE Transactions on Biomedical Engineering

    5 publications · 208 citations

    5

    h-index

1–5