A Scheme of Low-Complexity and High-Precision Heartbeat Rate Detection Based on FMCW Radar

With the development of radar technology and the trend towards non-contact detection, the frequency modulated continuous wave (FMCW) radar has been used for vital signs detection. In this paper, we propose an innovative approach aimed at enhancing the precision and robustness of heartbeat rate estimation. Firstly, we propose a range bin selection methodology that specifically targets the range bin that encapsulates the most pertinent information pertaining to human vital signs. Secondly, aiming at the problem that the target human body spans multiple range bins, a multi-range bin signal fusion method is proposed. Finally, to improve the accuracy of heartbeat signal frequency measurement derived from the Variable Mode Extraction (VME) algorithm, we propose a novel method called CZT-Jacobsen. Refers to the heartbeat rate obtained by the contact detection instrument, the mean absolute error (MAE) of the proposed scheme in our experiment is 1.433 bpm on average, which achieves a better detection performance than the traditional scheme.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/cisp-bmei64163.2024.10906158
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.18
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article

A Scheme of Low-Complexity and High-Precision Heartbeat Rate Detection Based on FMCW Radar

Hui Yu, Min Zhou
1 citations
Non-Invasive Vital Sign Monitoring
0.18
article

A Scheme of Low-Complexity and High-Precision Heartbeat Rate Detection Based on FMCW Radar

Hui Yu, Min Zhou
article en
1 citations

Abstract

With the development of radar technology and the trend towards non-contact detection, the frequency modulated continuous wave (FMCW) radar has been used for vital signs detection. In this paper, we propose an innovative approach aimed at enhancing the precision and robustness of heartbeat rate estimation. Firstly, we propose a range bin selection methodology that specifically targets the range bin that encapsulates the most pertinent information pertaining to human vital signs. Secondly, aiming at the problem that the target human body spans multiple range bins, a multi-range bin signal fusion method is proposed. Finally, to improve the accuracy of heartbeat signal frequency measurement derived from the Variable Mode Extraction (VME) algorithm, we propose a novel method called CZT-Jacobsen. Refers to the heartbeat rate obtained by the contact detection instrument, the mean absolute error (MAE) of the proposed scheme in our experiment is 1.433 bpm on average, which achieves a better detection performance than the traditional scheme.

Yantai University (CN)
Openalex Percentile: Top 49%
Non-Invasive Vital Sign Monitoring
0.18
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