Arrhythmia Detection

Arrhythmia Detection is a computational method in cardiac signal processing that identifies deviations from normal sinus rhythm in electrocardiogram signals to classify anomalous heartbeats indicative of arrhythmic conditions.

2.1K

Publications

133.1K

Citations

7.4K

Authors

2.3K

Institutions

Publications per year

2017–2026

996

Authors

7.4K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    24 publications · 4.7K citations

    24

    h-index

  2. CL
    Chengyu Liu

    Southeast University, China

    18 publications · 1.7K citations

    15

    h-index

  3. KH
    Ki H. Chon

    University of Connecticut, United States

    18 publications · 1.1K citations

    15

    h-index

  4. GD
    Gari D. Clifford

    Emory University, United States

    15 publications · 1.8K citations

    14

    h-index

  5. DD
    David D. McManus

    University of Massachusetts Chan Medical School, United States

    15 publications · 1K citations

    14

    h-index

1–5 of 7.4K

Venues

  1. IEEE Transactions on Biomedical Engineering

    77 publications · 23K citations

    51

    h-index

  2. IEEE Access

    46 publications · 3.8K citations

    36

    h-index

  3. Physiological Measurement

    58 publications · 2.8K citations

    33

    h-index

  4. Biomedical Signal Processing and Control

    53 publications · 2.9K citations

    33

    h-index

  5. Sensors

    44 publications · 1.8K citations

    26

    h-index

1–5