使用FMCW雷达通过新型信号处理算法进行非接触式心率变化监测
Guangyu Cui1, Yujie Wang1, Xinyi Zhang1
1School of Information and Communication Engineering, North University of China, Taiyuan 030051, China.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
这项研究引入了一种使用毫米波雷达的新型非接触式心率变化 (HRV) 传感方法. 新的算法显著减少了节拍间隔估计错误,改善了心血管健康监测.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 心血管健康 心血管健康
背景情况:
- 心率变化 (HRV) 是自主神经系统和心血管健康的关键指标.
- 对于HRV而言,非接触式监测方法对于用户的舒适性和长期坚持是非常理想的.
- 现有的非接触式HRV传感技术在准确性和可扩展性方面面临挑战.
研究的目的:
- 开发和验证一种新的算法,用于使用频率调制连续波 (FMCW) 毫米波雷达进行准确的HRV提取.
- 通过分离心脏和呼吸道信号,使HRV的稳健,非接触测量成为可能.
- 改进现有的节拍间隔 (IBI) 估计方法.
主要方法:
- 开发了一个无校准的3D目标定位模块,集成了数字光束成型,移动目标指示和DBSCAN集群.
- 建立了基于阶段的数学模型,以系统地分离呼吸和心脏振动.
- 使用拉格朗的倍数实现了第二阶段光谱稀疏分离算法,以实现强大的心跳提取.
主要成果:
- 与最先进的方法相比,拟议的算法实现了平均节拍间隔 (IBI) 估计误差的50%以上的减少.
- 在各种测试场景中保持一致的准确性.
- 该方法成功识别了心跳事件,并从恢复的心脏信号中获得HRV指标.
结论:
- 新的FMCW基于雷达的算法为准确的HRV评估提供了一个有前途的非接触式方法.
- 这种方法有可能通过可扩展,用户友好的技术来增强心血管健康监测.
- 需要进一步的研究来解决对象运动和实时应用的局限性.
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