Real-time Electrooculogram Processing

Real-Time Electrooculogram Processing is a computational framework within biomedical signal analysis that enables the continuous acquisition, filtering, and interpretation of electrooculographic signals with minimal latency, distinguishing itself by supporting immediate ocular movement detection and feedback for interactive or diagnostic applications.

29

Publications

1K

Citations

110

Authors

39

Institutions

Publications per year

2017–2026

12

Authors

110

  1. AK
    Amit Konar

    Jadavpur University, India

    3 publications · 60 citations

    3

    h-index

  2. AB
    Anwesha Banerjee

    Jadavpur University, India

    3 publications · 60 citations

    3

    h-index

  3. WC
    Won-Du Chang

    Hanyang University, South Korea

    2 publications · 128 citations

    2

    h-index

  4. DN
    D. N. Tibarewala

    Jadavpur University, India

    2 publications · 46 citations

    2

    h-index

  5. CI
    Chang‐Hwan Im

    Hanyang University, South Korea

    2 publications · 128 citations

    2

    h-index

1–5 of 110

Venues

  1. Biomedical Signal Processing and Control

    3 publications · 82 citations

    3

    h-index

  2. Sensors

    3 publications · 198 citations

    3

    h-index

  3. Physiological Measurement

    1 publications · 35 citations

    1

    h-index

  4. International Journal of Psychophysiology

    1 publications · 12 citations

    1

    h-index

  5. Journal of Eye Movement Research

    1 publications · 46 citations

    1

    h-index

1–5