Ecg Anomaly Detection

ECG Anomaly Detection is a computational method in biomedical signal processing that identifies deviations from normal cardiac electrophysiological patterns in electrocardiogram signals through systematic analysis of morphological and temporal features.

654

Publications

36.7K

Citations

2.4K

Authors

990

Institutions

Publications per year

2017–2026

412

Authors

2.4K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    14 publications · 2.8K citations

    14

    h-index

  2. RT
    Ru‐San Tan

    National Heart Centre Singapore, Singapore

    12 publications · 2.3K citations

    12

    h-index

  3. CL
    Chengyu Liu

    Southeast University, China

    6 publications · 1.3K citations

    7

    h-index

  4. PP
    Paweł Pławiak

    Cracow University of Technology, Poland

    6 publications · 1.6K citations

    6

    h-index

  5. SL
    Shu Lih Oh

    Ngee Ann Polytechnic, Singapore

    5 publications · 948 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. Biomedical Signal Processing and Control

    45 publications · 2.6K citations

    28

    h-index

  2. Computers in Biology and Medicine

    31 publications · 4.1K citations

    25

    h-index

  3. Expert Systems with Applications

    20 publications · 2.1K citations

    19

    h-index

  4. Computer Methods and Programs in Biomedicine

    18 publications · 1.3K citations

    18

    h-index

  5. Measurement

    15 publications · 1.2K citations

    15

    h-index

1–5