Offset Detection

Offset Detection is a signal processing technique in biomedical signal segmentation that identifies the precise termination point of a specific physiological event or waveform component within a time series, distinguishing itself from related onset or peak detection methods by focusing exclusively on the end boundary of such events.

92

Publications

3.2K

Citations

306

Authors

158

Institutions

Publications per year

2017–2026

28

Authors

306

  1. AL
    Alexander L. Gaeta

    Cornell University, United States

    2 publications · 171 citations

    2

    h-index

  2. TN
    Toru Nakura

    The University of Tokyo, Japan

    2 publications · 51 citations

    2

    h-index

  3. TI
    Tetsuya Iizuka

    The University of Tokyo, Japan

    2 publications · 51 citations

    2

    h-index

  4. TK
    Takehisa Koga

    The University of Tokyo, Japan

    2 publications · 51 citations

    2

    h-index

  5. ML
    Michal Lipson

    Cornell University, United States

    2 publications · 171 citations

    2

    h-index

1–5 of 306

Venues

  1. Signal Processing

    2 publications · 133 citations

    2

    h-index

  2. Vision Research

    2 publications · 44 citations

    2

    h-index

  3. Perception & Psychophysics

    2 publications · 31 citations

    2

    h-index

  4. 2

    h-index

  5. Optics Letters

    2 publications · 89 citations

    2

    h-index

1–5