一种基于激光多普勒效应的改良生命信号提取方法
Yu Li1, Haiyang Zhang1, Bowen Zhang1
1School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
这项研究提出了一种新的方法来分离激光多普勒系统检测到的呼吸和心跳信号. 该技术有效过干扰,并将生命速率分析的准确性提高到95%.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 生理监测 生理监测
背景情况:
- 激光多普勒系统检测到混合的呼吸和心跳波形.
- 中频 (IF) 干扰和噪声散射使生命信号分析复杂化.
- 精确分离呼吸道和心脏信号对于患者监测至关重要.
研究的目的:
- 开发和验证一种选IF干扰和混合生命信号噪声的方法.
- 从组合信号中分离并准确地提取呼吸和心跳波形.
- 为了提高呼吸率和心率测量的准确性.
主要方法:
- 使用基于变化系数 (CoV) 值的中间频率 (IF) 干扰过方法.
- 采用基于噪声散射理论的增强曲线提取方法,用于生命信号分析.
- 应用了基于二次差异理论的波形固定方法,用于时间域信号解.
主要成果:
- 开发的算法成功地在计算机模拟和实验室环境中提取了混合波形.
- 该方法通过自适应性过了IF干扰信号,改善了信号质量.
- 呼吸和心率被准确地识别出来,总的准确率约为95%.
结论:
- 拟议的信号处理技术有效过干扰并解重要信号.
- 这种方法提高了来自激光多普勒数据的呼吸率和心率测量的准确性.
- 经过验证的方法为改善生理监测提供了一个有希望的解决方案.
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