Fine-grained Vital Sign Reconstruction through Machine Learning on Multi-channel Radar Signals

Monitoring vital signs such as breathing rate (BR) and heart rate (HR) is crucial for early detection of health issues and supports a wide range of health-related applications. Traditional monitoring methods often involve body-attached medical devices, which can be intrusive and inconvenient for con...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Li, Changming, Shi, Cong, Petropulu, Athina, Chen, Yingying
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.04.2025
Predmet:	Array signal processing Double Phase Shifters Machine learning Machine Learning-based Signal Reconstruction Medical devices Monitoring Phase shifters Phased arrays Radar Radio frequency RF signals Sensors Vital Sign Monitoring
ISSN:	2379-190X
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