Millimeter-Wave Radar-Based Vital Sign Signal Extraction Using Multiple Distance Bin

This paper introduces a multi-distance non-contact vital sign signal reconstruction and extraction algorithm based on frequency modulated continuous wave (FMCW) millimeter wave radar. The technology of measuring vital signs with millimeter wave radar has significant medical value. However, issues such as environmental noise, unconscious micro-movements of the human body, and the extremely subtle vibrations of the thoracic cavity caused by heartbeats greatly reduce the signal-to-noise ratio of the vital sign signals. To address these issues, considering the characteristic that the human body is perceived as a point cloud target under millimeter wave radar, this paper proposes a technique to enhance the signal-to-noise ratio of weak heartbeat signals by utilizing multi-distance vital sign signals. Furthermore, this paper employs the variational mode decomposition (VMD) algorithm for the reconstruction of vital sign signals, achieving high-precision extraction of the human heart rate signal.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10699963
Citations
2
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.70

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article

Millimeter-Wave Radar-Based Vital Sign Signal Extraction Using Multiple Distance Bin

Jianjian Huo, Jian Wang, Zhiwei Zheng
2 citations
Biometric Identification and Security
0.70
article

Millimeter-Wave Radar-Based Vital Sign Signal Extraction Using Multiple Distance Bin

Jianjian Huo, Jian Wang, Zhiwei Zheng
article en
2 citations

Abstract

This paper introduces a multi-distance non-contact vital sign signal reconstruction and extraction algorithm based on frequency modulated continuous wave (FMCW) millimeter wave radar. The technology of measuring vital signs with millimeter wave radar has significant medical value. However, issues such as environmental noise, unconscious micro-movements of the human body, and the extremely subtle vibrations of the thoracic cavity caused by heartbeats greatly reduce the signal-to-noise ratio of the vital sign signals. To address these issues, considering the characteristic that the human body is perceived as a point cloud target under millimeter wave radar, this paper proposes a technique to enhance the signal-to-noise ratio of weak heartbeat signals by utilizing multi-distance vital sign signals. Furthermore, this paper employs the variational mode decomposition (VMD) algorithm for the reconstruction of vital sign signals, achieving high-precision extraction of the human heart rate signal.

Ningbo University (CN)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 31%
Biometric Identification and Security
0.70
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Millimeter-Wave Radar-Based Vital Sign Signal Extraction Using Multiple Distance Bin — Jianjian Huo, Jian Wang, et al. · (2024) | TGRS Research Map | TGRS