Ventilator Signal Processing

Ventilator Signal Processing is a computational methodology that transforms raw physiological and mechanical signals from mechanical ventilators into meaningful clinical parameters through filtering, feature extraction, and interpretation techniques specific to respiratory dynamics.

23

Publications

784

Citations

103

Authors

66

Institutions

Publications per year

2017–2026

6

Authors

103

  1. MJ
    Mengzhe Jia

    Zhejiang University of Technology, China

    1 publications · 48 citations

    1

    h-index

  2. DT
    Didier Tassaux

    University Hospital of Geneva, Switzerland

    1 publications · 82 citations

    1

    h-index

  3. RF
    Rédouane Fodil

    Inserm, France

    1 publications · 72 citations

    1

    h-index

  4. LB
    Laurent Brochard

    Université Paris-Est Créteil, France

    1 publications · 72 citations

    1

    h-index

  5. WP
    Wellington Pereira Yamaguti

    Hospital Sírio-Libanês, Brazil

    1 publications · 20 citations

    1

    h-index

1–5 of 103

Venues

  1. Intensive Care Medicine

    3 publications · 166 citations

    3

    h-index

  2. Critical Care

    CC · 2 publications · 41 citations

    2

    h-index

  3. Respiratory Care

    RC · 2 publications · 71 citations

    2

    h-index

  4. Journal of Medical Systems

    1 publications · 30 citations

    1

    h-index

  5. BioMedical Engineering OnLine

    1 publications · 11 citations

    1

    h-index

1–5