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.
Authors
- Ruijie Zhang (ORCID: https://orcid.org/0000-0002-0246-2204)
- Zi-Kai Yang
- Zihao Zhang
- Lei Wan
Institutions
- Hebei University of Technology (CN)
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
- 0.00