Ambient health sensing on passive surfaces using metamaterials

Ambient health sensing on passive surfaces using metamaterials

5 January 2024 | Dat T. Nguyen, Qihang Zeng, Xi Tian, Patrick Chia, Changsheng Wu, Yuxin Liu, John S. Ho
Researchers have developed a technique to transform passive surfaces into highly sensitive health sensors using metamaterials. This method enables contactless, interference-free monitoring of vital signs such as respiration, heart rate, and pulse rate. The system uses metamaterial textiles, which are engineered to interact with wireless signals and body tissues, allowing for accurate and continuous health monitoring. The sensors are thin, conformal, and can be integrated into everyday objects, enabling the simultaneous monitoring of multiple body sites. The system demonstrates high accuracy, comparable to gold-standard measurements, and can be used for continuous blood pressure monitoring through machine learning. The technology has been tested in various environments, including an office and a simulated airplane cabin, showing its versatility and robustness for ambient health sensing. The system's ability to operate without active user participation makes it ideal for continuous health monitoring in daily life. The research highlights the potential of metamaterial textiles for ambient sensing and digital health applications, offering a non-invasive, unobtrusive solution for health monitoring in a wide range of environments.Researchers have developed a technique to transform passive surfaces into highly sensitive health sensors using metamaterials. This method enables contactless, interference-free monitoring of vital signs such as respiration, heart rate, and pulse rate. The system uses metamaterial textiles, which are engineered to interact with wireless signals and body tissues, allowing for accurate and continuous health monitoring. The sensors are thin, conformal, and can be integrated into everyday objects, enabling the simultaneous monitoring of multiple body sites. The system demonstrates high accuracy, comparable to gold-standard measurements, and can be used for continuous blood pressure monitoring through machine learning. The technology has been tested in various environments, including an office and a simulated airplane cabin, showing its versatility and robustness for ambient health sensing. The system's ability to operate without active user participation makes it ideal for continuous health monitoring in daily life. The research highlights the potential of metamaterial textiles for ambient sensing and digital health applications, offering a non-invasive, unobtrusive solution for health monitoring in a wide range of environments.
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