对于非接触式心率变化监测的实时评估算法
Xiangyu Han1, Qian Zhai1, Ning Zhang2
1State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
这项研究引入了一种基于雷达的新算法,用于非接触式心率变化 (HRV) 监测. 该方法准确估计心率参数,显示健康评估和诊断的潜力.
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:
- 使用雷达进行非接触式生命信号监测正在获得引力.
- 心率变化 (HRV) 是整体健康的关键指标.
- 现有的HRV监测方法往往需要身体接触.
研究的目的:
- 开发一种新的算法,用于使用FMCW雷达进行准确的非接触式HRV监测.
- 为了提高信号质量和隔离胸壁运动,以精确检测心跳.
- 为了验证算法的性能在估计HRV参数.
主要方法:
- 使用频率调制连续波 (FMCW) 雷达来分离回声信号.
- 采用光束成形技术来提高信号噪声比.
- 对胸壁运动进行了调节阶段,计算了加速以增强心跳和抑制呼吸,并使用了用于信号分割的联合优化算法.
主要成果:
- 该算法在10名参与者中实现了非接触式HRV估计的高精度.
- 测量的间拍间隔 (IBI) 根平均平方误差 (RMSE) 为14.9毫秒.
- 准确估计的HRV参数:平均值 (RMSE 3.24 ms),正常到正常间隔的标准偏差 (SDNN) (RMSE 4.91 ms) 和连续差异的根平均平方 (RMSSD) (RMSE 9.10 ms).
结论:
- 拟议的基于雷达的算法对于非接触式HRV分析是有效和可行的.
- 在情绪识别,睡眠监测和心脏病诊断方面展示了潜在的应用.
- 在远程健康监测和评估方面提供了有前途的进步.
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