Physiological Signal Analysis

Physiological Signal Analysis is a computational methodology within affective computing that involves the systematic processing and interpretation of biological signals—such as electrodermal activity, heart rate, and electroencephalography—to infer emotional states based on their measurable physiological correlates.

1.8K

Publications

102.9K

Citations

5.6K

Authors

1.6K

Institutions

Publications per year

2017–2026

967

Authors

5.6K

  1. GV
    Gaetano Valenza

    University of Pisa, Italy

    31 publications · 3K citations

    24

    h-index

  2. EP
    Enzo Pasquale Scilingo

    University of Pisa, Italy

    28 publications · 2.9K citations

    22

    h-index

  3. MM
    M. Murugappan

    Universiti Malaysia Perlis, Malaysia

    29 publications · 1.9K citations

    22

    h-index

  4. AL
    Antonio Lanatà

    University of Pisa, Italy

    20 publications · 2.1K citations

    17

    h-index

  5. BH
    Bin Hu

    Lanzhou University, China

    19 publications · 1.6K citations

    16

    h-index

1–5 of 5.6K

Venues

  1. Sensors

    69 publications · 4.2K citations

    38

    h-index

  2. IEEE Transactions on Affective Computing

    TAC · 38 publications · 7.3K citations

    32

    h-index

  3. Biomedical Signal Processing and Control

    38 publications · 2.6K citations

    30

    h-index

  4. IEEE Access

    46 publications · 2.2K citations

    27

    h-index

  5. IEEE Sensors Journal

    21 publications · 1.2K citations

    19

    h-index

1–5