Artifact Segmentation

Artifact Segmentation is a signal processing technique in biomedical signal analysis that identifies and isolates non-physiological, noise-like components—arising from external interference, instrumentation errors, or subject movement—from genuine physiological signals to ensure data integrity and accurate downstream interpretation.

19

Publications

874

Citations

123

Authors

55

Institutions

Publications per year

2017–2026

8

Authors

123

  1. HB
    Hendrik Bläker

    Heidelberg University, Germany

    1 publications · 49 citations

    1

    h-index

  2. TP
    Thomas Penzel

    Charité - Universitätsmedizin Berlin, Germany

    1 publications · 92 citations

    1

    h-index

  3. AP
    Alexey Pryalukhin

    Kameda Medical Center, Japan

    1 publications · 49 citations

    1

    h-index

  4. DS
    David Schrama

    Universitätsklinikum Würzburg, Germany

    1 publications · 14 citations

    1

    h-index

  5. MB
    M. Braun

    Charles University, Czechia

    1 publications · 49 citations

    1

    h-index

1–5 of 123

Venues

  1. Medical Physics

    3 publications · 183 citations

    3

    h-index

  2. Translational Vision Science & Technology

    TVST · 1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Access

    1 publications · 28 citations

    1

    h-index

  5. Forensic Science International Genetics

    FSI · 1 publications · 30 citations

    1

    h-index

1–5