Signal Filtering

Signal Filtering is a signal processing technique that selectively attenuates or enhances specific frequency components of an electroencephalogram signal to isolate neurophysiologically relevant activity from noise and artifacts.

728

Publications

37.6K

Citations

2.3K

Authors

898

Institutions

Publications per year

2017–2026

206

Authors

2.3K

  1. IG
    Ivana Gasulla

    Universitat Politècnica de València, Spain

    5 publications · 131 citations

    5

    h-index

  2. BB
    Benjamin Blankertz

    Technische Universität Berlin, Germany

    5 publications · 2.9K citations

    5

    h-index

  3. JM
    Jorge Mateo

    University of Castilla-La Mancha, Spain

    5 publications · 98 citations

    5

    h-index

  4. KM
    Klaus‐Robert Müller

    Technische Universität Berlin, Germany

    5 publications · 2.2K citations

    5

    h-index

  5. NV
    Nitish V. Thakor

    Johns Hopkins University, United States

    5 publications · 891 citations

    5

    h-index

1–5 of 2.3K

Venues

  1. IEEE Transactions on Biomedical Engineering

    52 publications · 3.9K citations

    31

    h-index

  2. 11

    h-index

  3. Journal of Neuroscience Methods

    9 publications · 2K citations

    9

    h-index

  4. IEEE Access

    9 publications · 341 citations

    9

    h-index

  5. IEEE Sensors Journal

    9 publications · 377 citations

    9

    h-index

1–5