Biophysical Signal Processing

Biophysical Signal Processing is a methodological framework within biophysical data analysis that specifically involves the acquisition, filtering, transformation, and interpretation of physiological signals to extract meaningful biological information from noisy or complex raw data.

82

Publications

3.4K

Citations

288

Authors

146

Institutions

Publications per year

2017–2026

12

Authors

288

  1. FS
    Friedhelm Schwenker

    Universität Ulm, Germany

    2 publications · 50 citations

    2

    h-index

  2. AJ
    Andrew J. Pullan

    University of Auckland, New Zealand

    2 publications · 57 citations

    2

    h-index

  3. RL
    Raul Land

    Tallinn University of Technology, Estonia

    2 publications · 26 citations

    2

    h-index

  4. JO
    Jaan Ojarand

    Tallinn University of Technology, Estonia

    2 publications · 26 citations

    2

    h-index

  5. CD
    Christian Dietrich

    Federal Institute of Hydrology, Germany

    2 publications · 50 citations

    2

    h-index

1–5 of 288

Venues

  1. Medical & Biological Engineering & Computing

    4 publications · 105 citations

    4

    h-index

  2. Biomedical Signal Processing and Control

    3 publications · 239 citations

    3

    h-index

  3. 2

    h-index

  4. Physiological Measurement

    2 publications · 51 citations

    2

    h-index

  5. Journal of Neuroscience Methods

    2 publications · 239 citations

    2

    h-index

1–5