Waveform Morphology Analysis

Waveform Morphology Analysis is a computational method in electrocardiography that characterizes the shape, amplitude, and temporal sequence of cardiac electrical signals to identify pathological patterns by distinguishing morphological features of ECG waveforms from baseline variants and noise artifacts.

174

Publications

6.9K

Citations

788

Authors

343

Institutions

Publications per year

2017–2026

38

Authors

788

  1. MM
    Marek Malík

    St George's, University of London, United Kingdom

    5 publications · 317 citations

    5

    h-index

  2. JR
    J.J. Rieta

    Universitat Politècnica de València, Spain

    5 publications · 95 citations

    5

    h-index

  3. RA
    Raúl Alcaraz

    University of Castilla-La Mancha, Spain

    5 publications · 95 citations

    5

    h-index

  4. LA
    Lorenzo A. DiCarlo

    University of Michigan, United States

    5 publications · 199 citations

    5

    h-index

  5. AM
    Arturo Martínez‐Rodrigo

    University of Castilla-La Mancha, Spain

    4 publications · 80 citations

    4

    h-index

1–5 of 788

Venues

  1. IEEE Transactions on Biomedical Engineering

    13 publications · 759 citations

    11

    h-index

  2. Pacing and Clinical Electrophysiology

    PACE · 11 publications · 286 citations

    11

    h-index

  3. PubMed

    Repository · 7 publications · 242 citations

    7

    h-index

  4. Physiological Measurement

    6 publications · 297 citations

    6

    h-index

  5. Journal of Electrocardiology

    5 publications · 116 citations

    5

    h-index

1–5