Respiration and Heart Rate Estimation Using FMCW Radar on the Continuum

We present a classical signal processing based solution for breathing rate and heart rate estimation of a human being using measurements from a frequency modulated continuous wave (FMCW) radar. The proposed solution jointly estimates the respiration rate and its higher order harmonics, as well as the heart rate using the Newtonized orthogonal matching pursuit (NOMP) algorithm on the continuous line. Our simulation results demonstrate that the proposed solution significantly outperforms the benchmark Fast Fourier Transform (FFT) based estimation algorithm in terms of the root mean-squared error (RMSE). We also demonstrate the application of the proposed algorithm on real data captured using the Infineon Technologies 60 GHz FMCW radar BGT60TR13C development board where similar performance improvement is observed.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757834
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Respiration and Heart Rate Estimation Using FMCW Radar on the Continuum

Khurram Usman Mazher, Abdulellah Almalki, Huaping Liu
1 citations
Non-Invasive Vital Sign Monitoring
0.18
article

Respiration and Heart Rate Estimation Using FMCW Radar on the Continuum

Khurram Usman Mazher, Abdulellah Almalki, Huaping Liu
article en
1 citations

Abstract

We present a classical signal processing based solution for breathing rate and heart rate estimation of a human being using measurements from a frequency modulated continuous wave (FMCW) radar. The proposed solution jointly estimates the respiration rate and its higher order harmonics, as well as the heart rate using the Newtonized orthogonal matching pursuit (NOMP) algorithm on the continuous line. Our simulation results demonstrate that the proposed solution significantly outperforms the benchmark Fast Fourier Transform (FFT) based estimation algorithm in terms of the root mean-squared error (RMSE). We also demonstrate the application of the proposed algorithm on real data captured using the Infineon Technologies 60 GHz FMCW radar BGT60TR13C development board where similar performance improvement is observed.

Oregon State University (US), The University of Texas at Austin (US)
Zero hunger
Openalex Percentile: Top 49%
Non-Invasive Vital Sign Monitoring
0.18
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