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This paper presents an innovative approach for estimating human vital signs parameters. Firstly, the signal model for human vital signs is introduced. Then, the proposed GWO-VMD method which aims to improve the decomposition effect is used to extract the respiratory and heartbeat components. Next, a multi-channel statistical approach is used to obtain more stable and accurate results. Finally, the experimental results confirm the superiority and effectiveness of the proposed method.

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A GWO-VMD Method Based Vital Signs Parameter Estimation for Multi-Channel Millimeter Wave Radar

  • 会议论文

  • 发表日期：

    2025年

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  • Luyuan Shi,
  • Xuefeng Zhou,
  • Shisheng Guo,
  • Guolong Cui

摘要

This paper presents an innovative approach for estimating human vital signs parameters. Firstly, the signal model for human vital signs is introduced. Then, the proposed GWO-VMD method which aims to improve the decomposition effect is used to extract the respiratory and heartbeat components. Next, a multi-channel statistical approach is used to obtain more stable and accurate results. Finally, the experimental results confirm the superiority and effectiveness of the proposed method.