在低频记录中,脉冲到达时间估计的准确性越来越高
Roel J H Montree1, Elisabetta Peri1, Reinder Haakma2
1Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Physiological measurement
|February 22, 2024
概括
这项研究引入了一种新方法,通过低频可穿戴传感器数据准确估计脉冲到达时间 (PAT). 该技术提高了准确性,使生命体征监测在临床应用中更可靠.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 摄影电磁镜 (PPG) 在可穿戴设备中用于测量生命信号.
- 通过降低可穿戴设备的采样频率,降低了电力和数据需求.
- 精确的脉冲到达时间 (PAT) 估计对于非侵入性血压监测至关重要.
研究的目的:
- 开发一种新的策略,用于在采样频率低至25 Hz时估计PAT.
- 为了提高来自低频可穿戴数据的PAT参数的准确性.
- 支持临床决策,使用可靠的生命体征测量.
主要方法:
- 开发了一个模板匹配算法.
- 该方法利用抽样时间的随机性质和预期的PAT变化.
- 算法在公共数据集上测试了健康的志愿者在坐着,行走和跑步条件下.
主要成果:
- 该算法在较低的采样频率下显著降低了平均平均误差16.6%.
- 误差的标准偏差平均减少了20.2%.
- 错误减少在坐姿中更为明显 (22.2%的平均值,48.8%的std dev).
结论:
- 开发的方法为从低频记录中准确估计PAT提供了一个有希望的方法.
- 这一进步可以提高可穿戴生命体征监测的临床实用性.
- 该技术解决了可穿戴设备中的数据效率和测量精度之间的权衡问题.
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