Physiological Signal Processing

Physiological Signal Processing is the systematic analysis and interpretation of biological signals acquired from wearable health technologies to extract meaningful health-related information through computational and statistical techniques.

2K

Publications

117.1K

Citations

6.7K

Authors

2K

Institutions

Publications per year

2017–2026

1.2K

Authors

6.7K

  1. ME
    Mohamed Elgendi

    University of British Columbia, Canada

    12 publications · 757 citations

    13

    h-index

  2. RJ
    Roozbeh Jafari

    The University of Texas at Dallas, United States

    12 publications · 408 citations

    12

    h-index

  3. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    11 publications · 654 citations

    11

    h-index

  4. YZ
    Yuan‐Ting Zhang

    Chinese University of Hong Kong, Hong Kong SAR China

    11 publications · 858 citations

    11

    h-index

  5. EP
    Enzo Pasquale Scilingo

    University of Pisa, Italy

    8 publications · 420 citations

    10

    h-index

1–5 of 6.7K

Venues

  1. Sensors

    120 publications · 5.8K citations

    41

    h-index

  2. IEEE Transactions on Biomedical Engineering

    41 publications · 4K citations

    30

    h-index

  3. IEEE Access

    59 publications · 2.5K citations

    30

    h-index

  4. IEEE Journal of Biomedical and Health Informatics

    38 publications · 2.5K citations

    29

    h-index

  5. IEEE Sensors Journal

    41 publications · 2K citations

    28

    h-index

1–5