Artifact Detection Algorithms

Artifact Detection Algorithm is a computational method designed to identify and distinguish non-physiological signals or distortions in biological data, differentiating itself from other signal processing techniques by specifically targeting spurious elements introduced by measurement or environmental factors.

105

Publications

5.3K

Citations

460

Authors

215

Institutions

Publications per year

2017–2026

41

Authors

460

  1. KH
    Ki H. Chon

    University of Connecticut, United States

    5 publications · 465 citations

    5

    h-index

  2. NG
    Nils Große Hokamp

    University Hospital Cologne, Germany

    4 publications · 188 citations

    4

    h-index

  3. EJ
    Edward Jones

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 181 citations

    3

    h-index

  4. MM
    Mufti Mahmud

    Nottingham Trent University, United Kingdom

    3 publications · 108 citations

    3

    h-index

  5. MO
    Martin O’Halloran

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 181 citations

    3

    h-index

1–5 of 460

Venues

  1. Physiological Measurement

    4 publications · 275 citations

    4

    h-index

  2. IEEE Transactions on Biomedical Engineering

    4 publications · 305 citations

    4

    h-index

  3. Psychophysiology

    3 publications · 534 citations

    3

    h-index

  4. Scientific Reports

    2 publications · 61 citations

    2

    h-index

  5. Journal of Neuroscience Methods

    2 publications · 113 citations

    2

    h-index

1–5