Mohammad Omid Bagheri, Ali Gharamohammadi, Serene Abu-Sardanah, Omar M. Ramahi, George Shaker
{"title":"利用元表面的雷达近场传感技术促进生物医学应用","authors":"Mohammad Omid Bagheri, Ali Gharamohammadi, Serene Abu-Sardanah, Omar M. Ramahi, George Shaker","doi":"10.1038/s44172-024-00194-4","DOIUrl":null,"url":null,"abstract":"Metasurfaces, promising technology exemplified by their precise manipulation of incident wave properties and exquisite control over electromagnetic field propagation, offer unparalleled benefits when integrated into radar systems, providing higher resolution and increased sensitivity. Here, we introduce a metasurface-enhanced millimeter-wave radar system for advanced near-field bio-sensing, underscoring its adaptability to the skin-device interface, and heightened diagnostic precision in non-invasive healthcare monitoring. The low-profile planar metasurface, featuring a phase-synthesized array for near-field impedance matching, integrates with radar antennas to concentrate absorbed power density within the skin medium while simultaneously improving the received power level, thereby enhancing sensor signal-to-noise ratio. Measurement verification employs a phantom with material properties resembling human skin within the radar frequency range of 58 to 63 GHz. Results demonstrate a notable increase of over 11 dB in near-field Poynting power density within the phantom model, while radar signal processing analysis indicates a commensurate improvement in signal-to-noise ratio, thus facilitating enhanced sensing in biomedical applications. Mohammad Omid Bagheri and colleagues introduce a metasurface-enhanced millimetre-wave radar system designed for near-field biosensing. Their device adapts to the properties of the skin-device interface, providing heightened diagnostic precision in wearable healthcare monitoring applications.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44172-024-00194-4.pdf","citationCount":"0","resultStr":"{\"title\":\"Radar near-field sensing using metasurface for biomedical applications\",\"authors\":\"Mohammad Omid Bagheri, Ali Gharamohammadi, Serene Abu-Sardanah, Omar M. 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Measurement verification employs a phantom with material properties resembling human skin within the radar frequency range of 58 to 63 GHz. Results demonstrate a notable increase of over 11 dB in near-field Poynting power density within the phantom model, while radar signal processing analysis indicates a commensurate improvement in signal-to-noise ratio, thus facilitating enhanced sensing in biomedical applications. Mohammad Omid Bagheri and colleagues introduce a metasurface-enhanced millimetre-wave radar system designed for near-field biosensing. 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Radar near-field sensing using metasurface for biomedical applications
Metasurfaces, promising technology exemplified by their precise manipulation of incident wave properties and exquisite control over electromagnetic field propagation, offer unparalleled benefits when integrated into radar systems, providing higher resolution and increased sensitivity. Here, we introduce a metasurface-enhanced millimeter-wave radar system for advanced near-field bio-sensing, underscoring its adaptability to the skin-device interface, and heightened diagnostic precision in non-invasive healthcare monitoring. The low-profile planar metasurface, featuring a phase-synthesized array for near-field impedance matching, integrates with radar antennas to concentrate absorbed power density within the skin medium while simultaneously improving the received power level, thereby enhancing sensor signal-to-noise ratio. Measurement verification employs a phantom with material properties resembling human skin within the radar frequency range of 58 to 63 GHz. Results demonstrate a notable increase of over 11 dB in near-field Poynting power density within the phantom model, while radar signal processing analysis indicates a commensurate improvement in signal-to-noise ratio, thus facilitating enhanced sensing in biomedical applications. Mohammad Omid Bagheri and colleagues introduce a metasurface-enhanced millimetre-wave radar system designed for near-field biosensing. Their device adapts to the properties of the skin-device interface, providing heightened diagnostic precision in wearable healthcare monitoring applications.