Electrocardiogram Compression

Electrocardiogram Compression is a signal processing technique that belongs to the class of biomedical data compression methods, specifically designed to reduce the redundancy and irrelevancy in electrocardiographic signals while preserving clinically significant features for accurate cardiac diagnosis and efficient storage or transmission.

442

Publications

19.8K

Citations

966

Authors

420

Institutions

Publications per year

2017–2026

109

Authors

966

  1. GK
    Girish Kumar Singh

    Indian Institute of Technology Roorkee, India

    13 publications · 402 citations

    13

    h-index

  2. AK
    Anil Kumar

    Indian Institute of Information Technology Design and Manufacturing Jabalpur, India

    12 publications · 413 citations

    12

    h-index

  3. SD
    Samarendra Dandapat

    Indian Institute of Technology Guwahati, India

    12 publications · 507 citations

    11

    h-index

  4. MA
    Mohammed Abo‐Zahhad

    Assiut University, Egypt

    11 publications · 459 citations

    10

    h-index

  5. IK
    Ibrahim Khalil

    RMIT University, Australia

    9 publications · 443 citations

    9

    h-index

1–5 of 966

Venues

  1. IEEE Transactions on Biomedical Engineering

    54 publications · 6.6K citations

    43

    h-index

  2. Biomedical Signal Processing and Control

    22 publications · 751 citations

    18

    h-index

  3. Electronics Letters

    15 publications · 671 citations

    14

    h-index

  4. Medical Engineering & Physics

    11 publications · 571 citations

    11

    h-index

  5. 10

    h-index

1–5