A wireless patch for sleep respiratory disorders applications.

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.