心率估计考虑基于多输入多输出频率调节的连续波雷达的变化模式分解的重建信号特征
Sara Nakatani1, Mondher Bouazizi2, Tomoaki Ohtsuki2
1Graduate School of Science and Technology, Keio University, Yokohama 223-8522, Japan.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
本研究引入了一种使用多输入多输出频率调制连续波 (MIMO FMCW) 雷达和变化模式分解 (VMD) 的新型心率估计方法. 该技术精确地隔离心率信号,即使有多个对象,提高隐私和非接触式监控.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 雷达技术 雷达技术的使用
背景情况:
- 准确的心率估计对于非侵入性健康监测至关重要.
- 现有的基于雷达的方法在将心跳信号与呼吸和运动器件分开时面临挑战.
- 隐私问题和穿透服装测量的需要凸显了对先进技术的需求.
研究的目的:
- 开发一种使用MIMO FMCW雷达和VMD的新型心率估计方法.
- 为了提高基于雷达的心率监测的准确性和稳定性.
- 为了在多个受试者的场景中实现可靠的心率估计.
主要方法:
- 使用多输入多输出 (MIMO) 频率调制连续波 (FMCW) 雷达来获取信号.
- 应用变化模式分解 (VMD) 来将雷达信号分解为内在模式函数 (IMF).
- 根据其中心频率提取特定的心跳IMF并重建心率信号.
主要成果:
- 拟议的基于VMD的MIMO FMCW雷达方法实现了一个单个对象的平均绝对误差 (MAE) 为2.54 BPM.
- 在两个 MAE 为 2.28 BPM 的受试者中,证明了准确的同时心率估计.
- 性能优于传统的多普勒雷达方法,显示出明显较低的错误率.
结论:
- 基于VMD的MIMO FMCW雷达方法为非接触式心率估计提供了强大而准确的解决方案.
- 该方法有效地隔离心跳信号,克服了传统技术的局限性.
- 这项技术有望提高隐私保护的远程健康监控.
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