Pain Monitoring Models

Pain Monitoring Models is a computational or theoretical framework designed to systematically assess, quantify, and track pain responses in individuals undergoing tendon injury rehabilitation, distinguished by its integration of physiological, behavioral, and patient-reported data to inform clinical decision-making.

23

Publications

1.3K

Citations

98

Authors

49

Institutions

Publications per year

2017–2026

14

Authors

98

  1. KG
    Karin Grävare Silbernagel

    University of Delaware, United States

    3 publications · 486 citations

    3

    h-index

  2. SR
    Soheil Rafatirad

    University of California, Los Angeles, United States

    1 publications · 15 citations

    1

    h-index

  3. TD
    Tyler Duellman

    University of Wisconsin–Madison, United States

    1 publications · 15 citations

    1

    h-index

  4. MC
    Michael-David Calderon

    University of California, Irvine, United States

    1 publications · 74 citations

    1

    h-index

  5. MP
    M.N. Perkins

    St George's, University of London, United Kingdom

    1 publications · 23 citations

    1

    h-index

1–5 of 98

Venues

  1. Scientific Reports

    2 publications · 51 citations

    2

    h-index

  2. 2

    h-index

  3. PLoS Computational Biology

    1 publications · 13 citations

    1

    h-index

  4. Pain

    1 publications · 186 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 66 citations

    1

    h-index

1–5