基于加速度计的呼吸速率估计,使用主要成分分析和自相关性
Mads C F Hostrup1, Anne Sofie Nielsen1, Freja E Sørensen1
1Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Physiological measurement
|March 7, 2025
概括
三轴加速度计准确地估计了广泛范围内的呼吸速率 (RR). 该方法使用主要组件分析 (PCA) 和自相关性,与参考流量计有很强的一致性.
科学领域:
- 生物医学工程 生物医学工程
- 生理监测 生理监测
- 可穿戴技术可穿戴技术
背景情况:
- 呼吸速率 (RR) 是一个关键的生命体征,但其监测经常被忽视.
- 现有的RR监控技术往往是昂贵的或不切实际的连续使用.
- 三轴加速度计为连续的RR监测提供了一种最小的侵入性方法.
研究的目的:
- 使用三轴加速度计与参考方法对RR估计进行验证.
- 评估基于加速度计的RR监测在广泛的呼吸速率范围内是否一致.
- 为了比较一种新的PCA自相关方法与单轴方法.
主要方法:
- 25名健康参与者使用腹部三轴加速度计进行了RR监测.
- 加速度计数据通过低通选,主要组件分析 (PCA) 和自相对应处理.
- 呼吸模式包括缓慢,正常和快速的步伐,流量计作为参考标准.
主要成果:
- 该PCA自相对应方法与参考表达出色的一致性,显示0.0bpm的偏差和[-1.9;1.9]bpm的一致性极限.
- 估计的RR的99%在参考值的±2bpm范围内,具有强大的皮尔森相关性 (r=0.99,p<0.001).
- 相比之下,单轴方法的一致性明显较差 (偏差=3.7 bpm,LOA=[-14.9; 22.3] bpm,r=0.44).
结论:
- 使用三轴加速度计的PCA自相关方法为呼吸率监测提供了高度准确和可靠的手段.
- 这种先进的信号处理技术显著优于更简单的单轴方法.
- 三轴加速度计为连续和广泛的呼吸速率评估提供了经过验证的实用解决方案.
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