Physiological Time-series Visualization

Physiological Time-Series Visualization is a visualization method that specifically represents temporally ordered physiological signals—such as electrocardiograms, electroencephalograms, or blood pressure waveforms—in a graphical format to enable the analysis of dynamic physiological processes over time.

38

Publications

2.6K

Citations

137

Authors

82

Institutions

Publications per year

2017–2026

12

Authors

137

  1. PO
    Patricia Ordóñez

    Universidad de Oviedo, Spain

    3 publications · 65 citations

    3

    h-index

  2. AL
    Ary L. Goldberger

    Harvard University, United States

    3 publications · 77 citations

    3

    h-index

  3. CU
    Christoph U. Lehmann

    Johns Hopkins University, United States

    3 publications · 65 citations

    3

    h-index

  4. MT
    Michael ten Caat

    University Medical Center Groningen, Netherlands

    2 publications · 39 citations

    2

    h-index

  5. JC
    James C. Fackler

    Johns Hopkins University, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 137

Venues

  1. IEEE Transactions on Biomedical Engineering

    2 publications · 58 citations

    2

    h-index

  2. NeuroImage

    2 publications · 1.3K citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 53 citations

    2

    h-index

  4. BMC Medical Informatics and Decision Making

    2 publications · 61 citations

    2

    h-index

  5. Journal of Diabetes Science and Technology

    DST · 1 publications · 16 citations

    1

    h-index

1–5