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SSA-VMD for UWB Radar Sensor Vital Sign Extraction
Huimin Yu1, Wenjun Huang1, Baoqiang Du1
1College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.
Sensors (Basel, Switzerland)
|January 21, 2023
Summary
This study uses ultra-wideband radar sensors and advanced signal processing to accurately monitor vital signs like respiration and heartbeat, ensuring worker health in smart grids.
Area of Science:
- Electrical Engineering
- Biomedical Engineering
- Signal Processing
Background:
- Smart grids require continuous monitoring of employee health for operational safety.
- Ultra-wideband (UWB) radar offers non-contact vital sign monitoring due to its penetration and resolution capabilities.
- Accurate heart rate measurement is challenging due to low signal amplitude and noise.
Purpose of the Study:
- To develop a robust method for extracting vital signs (respiration and heartbeat) using UWB radar.
- To enhance the accuracy of heart rate monitoring in noisy environments for grid employees.
- To validate the effectiveness of the proposed signal processing techniques.
Main Methods:
- Utilizing ultra-wideband (UWB) radar sensors for non-invasive vital sign detection.
- Applying Singular Spectrum Analysis (SSA) to reconstruct noisy vital sign data and eliminate interference.
- Employing Variational Modal Decomposition (VMD) to accurately extract target vital signs.
Main Results:
- Demonstrated high accuracy in extracting vital sign information from ten subjects at varying distances.
- Successfully eliminated noise peaks around the heartbeat rate using SSA.
- Validated the combined SSA and VMD approach for precise vital sign extraction.
Conclusions:
- The proposed SSA and VMD method enables accurate vital sign monitoring using UWB radar.
- This technology is crucial for short-distance human detection and health monitoring in smart grid environments.
- Ensures the well-being of grid employees by providing reliable health status insights.
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