Airflow Signal Processing

Airflow Signal Processing is a computational methodology within respiratory signal analysis that specifically involves the acquisition, filtering, feature extraction, and interpretation of airflow signals to characterize pulmonary function and detect respiratory disturbances.

49

Publications

1.8K

Citations

159

Authors

84

Institutions

Publications per year

2017–2026

12

Authors

159

  1. ZM
    Zahra Moussavi

    University of Manitoba, Canada

    4 publications · 129 citations

    4

    h-index

  2. YP
    Yasemin P. Kahya

    Boğaziçi University, Türkiye

    3 publications · 97 citations

    3

    h-index

  3. HK
    H. Kawaoka

    Nagoya City University, Japan

    2 publications · 22 citations

    2

    h-index

  4. MS
    M. Sudraud

    Université Paris-Saclay, France

    2 publications · 90 citations

    2

    h-index

  5. YH
    Yoshihiro Hasegawa

    Sapporo Medical University, Japan

    2 publications · 22 citations

    2

    h-index

1–5 of 159

Venues

  1. Computer Methods and Programs in Biomedicine

    6 publications · 344 citations

    6

    h-index

  2. Computers in Biology and Medicine

    5 publications · 193 citations

    5

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 2 publications · 96 citations

    2

    h-index

  4. Building and Environment

    2 publications · 47 citations

    2

    h-index

  5. Technology and Health Care

    2 publications · 55 citations

    2

    h-index

1–5