Comments on “Multidomain Separation for Human Vital Signs Detection With FMCW Radar in Interference Environment”

In the above article, an innovative methodology called symplectic geometry variational mode decomposition (SG-VMD) was proposed by the authors to separate phase signals of frequency modulated continuous wave (FMCW) radar echoes, and thus achieved high-precision extraction of human heart rate in interference environments. However, some errors about the human vital signs detection model based on FMCW radar have been found, which will not only affect the subsequent theoretical derivation of the article, but also affect readers’ understanding. Therefore, this comment has made necessary corrections to these errors.

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Publication Details

Journal
IEEE Transactions on Microwave Theory and Techniques
Published
2025-05-28
DOI
https://doi.org/10.1109/tmtt.2025.3567715
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
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Comments on “Multidomain Separation for Human Vital Signs Detection With FMCW Radar in Interference Environment”

Ruijie Zhang, Zi-Kai Yang, Zihao Zhang, Lei Wan
IEEE Transactions on Microwave Theory and Techniques
Non-Invasive Vital Sign Monitoring
article

Comments on “Multidomain Separation for Human Vital Signs Detection With FMCW Radar in Interference Environment”

Ruijie Zhang, Zi-Kai Yang, Zihao Zhang, Lei Wan
article en

Abstract

In the above article, an innovative methodology called symplectic geometry variational mode decomposition (SG-VMD) was proposed by the authors to separate phase signals of frequency modulated continuous wave (FMCW) radar echoes, and thus achieved high-precision extraction of human heart rate in interference environments. However, some errors about the human vital signs detection model based on FMCW radar have been found, which will not only affect the subsequent theoretical derivation of the article, but also affect readers’ understanding. Therefore, this comment has made necessary corrections to these errors.

IEEE Transactions on Microwave Theory and TechniquesVol. 73(11)
Hebei University of Technology (CN)
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Non-Invasive Vital Sign Monitoring
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