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

• Main Authors: Iyer, Srikrishna, Zhao, Leo, Mohan, Manoj Prabhakar, Jimeno, Joe, Mohammed Yakoob Siyal, Alphones, Arokiaswami, Muhammad Faeyz Karim
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; mm-Wave Radar; Artificial Neural Network
• Online Access: https://hdl.handle.net/10356/160152
• Institution: Nanyang Technological University

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...