Electrophysiological Visualization

Electrophysiological Visualization is a methodological framework within physiological visualization that specifically enables the graphical representation and interpretation of electrical activity generated by biological tissues, such as neurons or cardiac cells, to facilitate the analysis of temporal and spatial dynamics in electrophysiological signals.

72

Publications

4.9K

Citations

319

Authors

152

Institutions

Publications per year

2017–2026

13

Authors

319

  1. RM
    Rob MacLeod

    University of Utah, United States

    4 publications · 275 citations

    4

    h-index

  2. RC
    Roger C. Barr

    Duke University, United States

    3 publications · 77 citations

    3

    h-index

  3. MS
    Madison S. Spach

    Duke University, United States

    3 publications · 77 citations

    3

    h-index

  4. TM
    Thomas M. Gallie

    Duke University, United States

    3 publications · 77 citations

    3

    h-index

  5. SS
    Shinji Sato

    Tohoku University, Japan

    2 publications · 38 citations

    2

    h-index

1–5 of 319

Venues

  1. Journal of Neuroscience Methods

    4 publications · 765 citations

    4

    h-index

  2. Frontiers in Neuroinformatics

    3 publications · 265 citations

    3

    h-index

  3. International journal of cardiac imaging

    3 publications · 61 citations

    3

    h-index

  4. Computers and Biomedical Research

    3 publications · 77 citations

    3

    h-index

  5. Journal of Electrocardiology

    3 publications · 35 citations

    3

    h-index

1–5