mm-wave radar-based vital signs monitoring and arrhythmia detection using machine learning

mm-wave radar-based vital signs monitoring and arrhythmia detection using machine learning

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A non-contact, non-invasive monitoring system to measure and estimate the heart and breathing rate of humans using a frequency-modulated continuous wave (FMCW) mm-wave radar at 77 GHz is presented. A novel diagnostic system is proposed which extracts heartbeat phase signals from the FMCW radar (reco...

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Detalles Bibliográficos
Autores principales: Iyer, Srikrishna, Zhao, Leo, Mohan, Manoj Prabhakar, Jimeno, Joe, Mohammed Yakoob Siyal, Alphones, Arokiaswami, Muhammad Faeyz Karim
Otros Autores: School of Electrical and Electronic Engineering
Formato: Journal Article
Lenguaje:English
Publicado: 2022
Materias:
Engineering::Electrical and electronic engineering
mm-Wave Radar
Artificial Neural Network
Acceso en línea:https://hdl.handle.net/10356/160152

Internet

https://hdl.handle.net/10356/160152

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