Real-time Detection of Two Subjects' Respiratory Rates Using Wavelet-Transform-Based 5.8 GHz CW Doppler Radar

Using the continuous-wave (CW) Doppler radar to identify and extract the respiratory rates of two subjects is challenging, especially when the subjects have time-varying respiratory rates. In this work, a novel wavelet-transform-based algorithm is proposed to obtain the respiratory rates for the sce...

Full description

Saved in:
Bibliographic Details
Published inProceedings (International Conference on Wearable and Implantable Body Sensor Networks : Print) pp. 1 - 4
Main Authors Li, Meiyu, Xu, Luke, Liang, Sida, Tang, Jianbo
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.10.2023
Subjects
Doppler radar
multiple subjects detection
Non-contact continuous-wave Doppler radar
Numerical stability
Power system measurements
Radar detection
Real-time systems
Robustness
Spectrogram
Stability analysis
Testing
Time-frequency analysis
time-frequency spectrum
Vital sign detection
Wavelet transform
Online AccessGet full text

Cover

More Information
Summary:Using the continuous-wave (CW) Doppler radar to identify and extract the respiratory rates of two subjects is challenging, especially when the subjects have time-varying respiratory rates. In this work, a novel wavelet-transform-based algorithm is proposed to obtain the respiratory rates for the scenario when two subjects are presenting in the CW Doppler radar detection field. A two-point time-frequency spectrum was obtained from the continuous wavelet transform spectrogram, then a peak power density was calculated based on the two-point time-frequency spectrum, with which the respiratory rates can be eventually extracted. The algorithm was evaluated with numerical simulation and tested with human subjects using a 5.8-GHz continuous-wave Doppler radar platform.
ISSN:2376-8894
DOI:10.1109/BSN58485.2023.10331307