测量动脉脉冲信号中的运动工件的分析模型-第一部分:加速度计和PPG传感器
Md Mahfuzur Rahman1, Subodh Toraskar1, Mamun Hasan1
1Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
来自加速度计和光聚光学 (PPG) 传感器的脉冲信号中的运动工件 (MAs) 被建模. 该分析模型量化了影响测量脉冲信号的基线漂移和时间变化的系统参数 (TVSP).
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 生理测量生理测量
背景情况:
- 运动工件 (MAs) 显著降低了通过加速度计和光聚体传感器 (PPG) 测量的脉冲信号的准确性.
- 了解MA的影响对于可靠的生理监测至关重要.
研究的目的:
- 开发一个分析模型来量化测量脉冲信号中的运动工件 (MAs).
- 在数学上将基线漂移和时间变化的系统参数 (TVSPs) 与加速度计和PPG传感器数据中的MAs联系起来.
主要方法:
- 模拟组织接触传感器 (TCS) 堆作为1度自由度 (DOF) 系统.
- 开发了一个分析模型,将动脉壁位移和脉动压力视为真正的脉冲信号.
- 使用MATLAB进行数值计算,假设基线漂移和TVSP值.
主要成果:
- 基线漂移作为低频添加噪声,导致测量脉冲信号的显著波动.
- 电视信号传输器在真脉冲信号的每个波上引入轻微的,突然的扭曲 (例如,幅度变化<5%).
- 该模型量化了MA如何表现为基线漂移和TVSPs.
结论:
- 开发的分析模型为在脉冲测量中量化MA提供了一个基本框架.
- 该模型对整个传输路径进行了计算,为MA分析提供了全面的方法.
- 未来的工作将专注于使用该模型从测量脉冲信号量化基线漂移和TVSP.
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