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Respiratory rate detection using a camera as contactless sensor

Abstract:

Aim of this study is to extract near-continuously respiratory rate by a contactless method. An industrial camera was used to record subjects face. Video data were processed offline to derive the video-photoplethysmographic (videoPPG) signal. Three features were extracted from videoPPG and finger PPG signal: pulse rate variability (PRV), pulse amplitude variability (PAV) and pulse width variability (PWV). A combination of these methods has been exploited to estimate the respiratory rate for each time window of 5 second. The results showed relative error with median around 0.5% and interquartile range of 5% both for finger PPG and videoPPG system.

Año de publicación:

2017

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Visión por computadora

    Áreas temáticas:

    • Fisiología humana
    • Física aplicada
    • Ciencias de la computación

    Contribuidores:

    Mainardi L.T.Mainardi L.T.
    Pablo LagunaPablo Laguna
    Lazaro J.Lazaro J.
    Cerina L.Cerina L.
    Gil E.Gil E.
    Iozzia L.Iozzia L.