Sleep Stage Detection

Sleep Stage Detection is a computational method within electrooculogram analysis that distinguishes sequential phases of sleep by identifying characteristic ocular and neural activity patterns to classify sleep into standardized stages.

563

Publications

31.8K

Citations

2.1K

Authors

826

Institutions

Publications per year

2017–2026

312

Authors

2.1K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    16 publications · 1.7K citations

    16

    h-index

  2. TP
    Thomas Penzel

    Charité - Universitätsmedizin Berlin, Germany

    14 publications · 445 citations

    13

    h-index

  3. MS
    Manish Sharma

    Institute of Infrastructure Technology Research and Management, India

    9 publications · 533 citations

    9

    h-index

  4. SH
    Sari‐Leena Himanen

    7 publications · 292 citations

    7

    h-index

  5. WC
    Wei Chen

    Fudan University, China

    7 publications · 311 citations

    7

    h-index

1–5 of 2.1K

Venues

  1. Biomedical Signal Processing and Control

    17 publications · 1.2K citations

    17

    h-index

  2. IEEE Journal of Biomedical and Health Informatics

    17 publications · 1.2K citations

    15

    h-index

  3. IEEE Transactions on Biomedical Engineering

    15 publications · 1.5K citations

    15

    h-index

  4. SLEEP

    14 publications · 1.5K citations

    14

    h-index

  5. Computers in Biology and Medicine

    15 publications · 1.5K citations

    14

    h-index

1–5