Dynamic Physiological Visualization

Dynamic Physiological Visualization is a methodological framework within physiological visualization that enables the real-time, continuous representation of time-varying physiological processes through integrated computational and graphical techniques.

5

Publications

266

Citations

23

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

23

  1. DM
    Daniel McDuff

    Microsoft (United States), United States

    2 publications · 32 citations

    2

    h-index

  2. WC
    Weixuan Chen

    Massachusetts Institute of Technology, United States

    2 publications · 32 citations

    2

    h-index

  3. MS
    Maxime Sermesant

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 32 citations

    1

    h-index

  4. MR
    Michael Rubinstein

    Google (United States), United States

    1 publications · 106 citations

    1

    h-index

  5. MR
    Marcello Rossi

    University of Bologna, Italy

    1 publications · 96 citations

    1

    h-index

1–5 of 23

Venues

  1. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 32 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  3. Communications of the ACM

    1 publications · 106 citations

    1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 21 citations

    1

    h-index

  5. Respiration

    1 publications · 96 citations

    1

    h-index

1–5