从静止状态下测量到的动脉脉冲信号中移除运动工件:一种基于SDOF模型的通用时间频率方法
1Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
这项研究引入了一种新的时间频率方法,可以从动脉脉冲信号中去除运动器件. 该技术准确地提取心率和呼吸参数,改进信号分析.
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:
- 运动器件 (MA) 显著降低了动脉脉冲信号的准确性.
- 现有的方法很难区分MA与呼吸等生理信号.
- 准确的脉冲信号分析对于诊断心血管健康至关重要.
研究的目的:
- 开发一种通用的时间频率方法,以从动脉脉冲信号中强大地去除MA.
- 准确提取心率 (HR) 和呼吸等生理参数.
- 为了提高动脉脉冲波形 (APW) 分析的保真度.
主要方法:
- 采用单个自由度 (SDOF) 模型,将MA表示为时间变化的系统参数 (TVSP).
- 开发了一种基于SDOF模型的通用时间频率 (SDOF-TF) 方法来分析信号波.
- 这种方法在使用触觉和光电显微镜 (PPG) 传感器获得的脉冲信号上得到了验证.
主要成果:
- 在SDOF-TF方法成功地重建了脉冲信号与MA去除.
- 即时的波参数有效地区分了MA和呼吸效应.
- 即时初始阶段提供了比即时频率更准确的呼吸参数提取.
- 通过使用恒定HR,提高动脉指数导出,APW分析得到了改进.
结论:
- 开发的SDOF-TF方法提供了有效的MA去除和准确的生理参数提取.
- 这种方法提高了动脉脉冲信号分析在临床应用中的可靠性.
- 使用律分析将MA与呼吸区分开来是可行的和有益的.
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