Vital Sign Signal Extraction Based on mmWave Radar  

作　　者：Fuchuan Du Haili Wang Hao Zhu Qixin Cao Fuchuan Du;Haili Wang;Hao Zhu;Qixin Cao(Shanghai Jiao Tong University, Shanghai, China)

机构地区：[1]Shanghai Jiao Tong University, Shanghai, China

出　　处：《Journal of Computer and Communications》2022年第3期141-150,共10页电脑和通信（英文）

摘　　要：This research develops an algorithm for health monitoring and uses the Infineon BGT60TR13C shield 60GHz radar to build a set of software and hardware demonstration platforms for algorithm verification. The algorithm can monitor the position, breathing, heartbeat and other information of the elderly in real time, which is used to judge the health status of the elderly and improve the convenience for early warning and rescue of abnormal situations in time. However, limited by the transmission power of this radar and the number of transmitting and receiving antennas, the current detection range of the algorithm is relatively small, and the ability to distinguish between multiple persons is limited. This problem can be optimized by replacing other types of radars in the future.This research develops an algorithm for health monitoring and uses the Infineon BGT60TR13C shield 60GHz radar to build a set of software and hardware demonstration platforms for algorithm verification. The algorithm can monitor the position, breathing, heartbeat and other information of the elderly in real time, which is used to judge the health status of the elderly and improve the convenience for early warning and rescue of abnormal situations in time. However, limited by the transmission power of this radar and the number of transmitting and receiving antennas, the current detection range of the algorithm is relatively small, and the ability to distinguish between multiple persons is limited. This problem can be optimized by replacing other types of radars in the future.

关 键 词：Millimeter-Wave Radar FMCW HR and RR Detection Elderly Health Real-Time Monitoring 

分 类 号：TN9[电子电信—信息与通信工程]