Physiological Time-series Compression

Physiological Time-Series Compression is a specialized form of signal compression that targets time-ordered biomedical measurements derived from biological processes, distinguished by its focus on preserving clinically relevant features while achieving efficient data reduction for storage and transmission in healthcare applications.

107

Publications

4.1K

Citations

315

Authors

155

Institutions

Publications per year

2017–2026

28

Authors

315

  1. MM
    Madhuchhanda Mitra

    University of Calcutta, India

    6 publications · 203 citations

    6

    h-index

  2. SD
    Samarendra Dandapat

    Indian Institute of Technology Guwahati, India

    4 publications · 224 citations

    4

    h-index

  3. MS
    M. Sabarimalai Manikandan

    Indian Institute of Technology Bhubaneswar, India

    4 publications · 175 citations

    4

    h-index

  4. FC
    Fernando Cruz–Roldán

    Universidad de Alcalá, Spain

    3 publications · 208 citations

    3

    h-index

  5. MB
    Manuel Blanco–Velasco

    Universidad de Alcalá, Spain

    3 publications · 208 citations

    3

    h-index

1–5 of 315

Venues

  1. Biomedical Signal Processing and Control

    11 publications · 556 citations

    10

    h-index

  2. IEEE Transactions on Biomedical Engineering

    6 publications · 526 citations

    6

    h-index

  3. Medical Engineering & Physics

    5 publications · 334 citations

    5

    h-index

  4. Computer Methods and Programs in Biomedicine

    5 publications · 155 citations

    5

    h-index

  5. Sensors

    4 publications · 101 citations

    4

    h-index

1–5