Abstract
The combination of advanced radar sensor technology and smart grid has broad prospects. It is meaningful to monitor the respiration and heartbeat of grid employees under resting state through radar sensors to ensure that they are in a healthy working state. Ultra-wideband (UWB) radar sensor is suitable for this application because of its strong penetration ability, high range resolution and low average power consumption. However, due to weak heartbeat amplitude and measurement noise, the accurate measurement of the target heart rate is a challenge. In this paper, singular spectrum analysis (SSA) is proposed to reconstruct the eigenvalues of noisy vital signs to eliminate noise peaks around the heartbeat rate; combined with the variational modal decomposition (VMD), the target vital signs can be extracted with high accuracy. The experiment confirmed that the target vital sign information can be extracted with high accuracy from ten subjects at different distances, which can play an important role in short distance human detection and vital sign monitoring.
Funder
Hunan Key R&D Program Project
Natural Science Foundation of Hunan Province, China
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Education Foundation of Hunan Province
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference23 articles.
1. Three-Dimensional Object Matching in Mobile Laser Scanning Point Clouds;Yu;IEEE Geosci. Remote Sens. Lett.,2015
2. Person-Specific Heart Rate Estimation With Ultra-Wideband Radar Using Convolutional Neural Networks;Wu;IEEE Access,2019
3. UWB radars in medicine;Staderini;IEEE Aerosp. Electron. Syst. Mag.,2002
4. ECG-based heartbeat classification for arrhythmia detection: A survey;Luz;Comput. Methods Programs Biomed.,2016
5. Khan, F., Azou, S., Youssef, R., Morel, P., and Radoi, E. (2022). IR-UWB Radar-Based Robust Heart Rate Detection Using a Deep Learning Technique Intended for Vehicular Applications. Electronics, 11.
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