Electrocardiogram Feature Extraction

Electrocardiogram Feature Extraction is a computational methodology that identifies and isolates morphological and temporal characteristics from electrocardiographic signals to enable subsequent analysis, classification, or diagnosis of cardiac conditions.

3K

Publications

166.7K

Citations

8.3K

Authors

2.3K

Institutions

Publications per year

2017–2026

1.6K

Authors

8.3K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    49 publications · 8.3K citations

    44

    h-index

  2. PA
    Paul A. Friedman

    Mayo Clinic, United States

    23 publications · 2.9K citations

    18

    h-index

  3. RT
    Ru‐San Tan

    National Heart Centre Singapore, Singapore

    19 publications · 2.6K citations

    18

    h-index

  4. ZI
    Zachi I. Attia

    Mayo Clinic, United States

    20 publications · 2.8K citations

    17

    h-index

  5. MM
    Madhuchhanda Mitra

    University of Calcutta, India

    21 publications · 1.3K citations

    16

    h-index

1–5 of 8.3K

Venues

  1. IEEE Transactions on Biomedical Engineering

    73 publications · 17.6K citations

    52

    h-index

  2. Biomedical Signal Processing and Control

    103 publications · 6.6K citations

    42

    h-index

  3. IEEE Access

    69 publications · 5K citations

    38

    h-index

  4. Expert Systems with Applications

    52 publications · 4.2K citations

    36

    h-index

  5. Computer Methods and Programs in Biomedicine

    57 publications · 5.4K citations

    36

    h-index

1–5