Baseline Drift Correction

Baseline Drift Correction is a signal processing technique used to remove low-frequency variations in time-series data that result from non-stationary noise or instrumental instability, thereby restoring the true baseline reference for accurate artifact rejection.

234

Publications

11.2K

Citations

942

Authors

429

Institutions

Publications per year

2017–2026

74

Authors

942

  1. LX
    Lisheng Xu

    Northeastern University, China

    4 publications · 276 citations

    4

    h-index

  2. FZ
    Fei Zhang

    National University of Singapore, Singapore

    4 publications · 320 citations

    4

    h-index

  3. YL
    Yong Lian

    National University of Singapore, Singapore

    4 publications · 320 citations

    4

    h-index

  4. XT
    Xiaojun Tang

    Xi'an Jiaotong University, China

    3 publications · 107 citations

    3

    h-index

  5. NA
    Netzahualcóyotl Arroyo‐Currás

    Johns Hopkins Medicine, United States

    3 publications · 322 citations

    3

    h-index

1–5 of 942

Venues

  1. IEEE Transactions on Biomedical Engineering

    7 publications · 377 citations

    7

    h-index

  2. Applied Spectroscopy

    7 publications · 363 citations

    7

    h-index

  3. Bulletin of the Seismological Society of America

    BSSA · 6 publications · 872 citations

    6

    h-index

  4. 5

    h-index

  5. The Analyst

    4 publications · 1.2K citations

    4

    h-index

1–5