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A wireless patch for sleep respiratory disorders applications.

R Gerbelot, A Koenig, C Goyer

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    Summary
    This summary is machine-generated.

    This study introduces a wireless patch and app for monitoring sleep respiratory disorders using oxygen and carbon dioxide sensors. It offers a reliable tool for computer-aided diagnosis and continuous patient monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Medical Devices
    • Digital Health

    Background:

    • Sleep respiratory disorders require continuous and reliable monitoring.
    • Existing monitoring methods can be cumbersome or invasive.
    • Digital biomarkers offer potential for improved diagnostic tools.

    Purpose of the Study:

    • To present a conformable wireless patch system for monitoring sleep respiratory disorders.
    • To develop a mobile application for data recording and analysis.
    • To create a computer-aided diagnosis tool for clinicians.

    Main Methods:

    • Development of a wireless patch with sensors for physical activity, SpO2, and pCO2.
    • In vivo testing of the SpO2 sensor against a reference device.
    • In vitro validation of the pCO2 sensor.
    • Implementation of algorithms for automatic detection of sleep respiratory events.

    Main Results:

    • The wireless patch system successfully recorded physical activity, SpO2, and pCO2.
    • SpO2 sensor demonstrated comparable performance to a reference device in vivo.
    • pCO2 sensor was validated in vitro.
    • Algorithms for identifying sleep respiratory events showed promising results when compared to a reference index.

    Conclusions:

    • The conformable wireless patch and mobile application provide a reliable system for continuous monitoring of sleep respiratory disorders.
    • The developed digital biomarkers and algorithms support computer-aided diagnosis.
    • This technology has the potential to enhance the rapid and continuous monitoring of patients with sleep respiratory conditions.