基于频率调节的连续波雷达的呼吸速率和心率检测的空间盲源估计
Tong Pei1, Tao Liao1, Xiangkui Wan1
1Hubei Power Grid Intelligent Control and Equipment Engineering Technology Research Center, Hubei University of Technology, Wuhan 430068, China.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
这项研究引入了一种新的空间盲源估计方法,使用FMCW雷达准确检测呼吸和心率. 该技术有效地克服了噪音和波干扰,实现了高检测精度,呼吸率为94.51%,心率为97.79%.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 雷达系统 雷达系统
背景情况:
- 由于静态杂乱和白色高斯噪声,FMCW雷达系统在准确检测呼吸和心率方面面临挑战.
- 硬件的热损失导致环境噪音,降低了生命信号的分离.
- 呼吸信号的和元件可以干扰准确的心率估计.
研究的目的:
- 提出一个空间盲源估计方法,以使用FMCW雷达准确检测呼吸和心率.
- 解决现有方法在处理噪声和信号波干扰方面的局限性.
- 提高生活标志监测在杂乱的环境中的稳定性和准确性.
主要方法:
- 从中频 (IF) 信号中提取特征,使用加权主要组件分析 (WPCA).
- 根据提取的独特特征重建呼吸和心率信号.
- 应用多信号分类 (MUSIC) 算法将信号转换为零域,减轻波干扰.
主要成果:
- 实现了94.51%的呼吸速率检测准确度.
- 实现了 97.79% 的心率检测准确度.
- 与传统算法相比,证明了更高的稳定性和更高的检测准确性.
结论:
- 拟议的空间盲源估计方法有效地提高了通过FMCW雷达检测呼吸和心率的准确性.
- 该方法成功地减轻了环境噪音和信号波的影响.
- 这种技术提供了一个稳定而准确的解决方案,用于在具有挑战性的条件下监测生命体征.
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