从心电图和光电图抽出呼吸速率的技术比较
Alfonso Maria Ponsiglione1, Michela Russo1,2, Maria Giovanna Petrellese3
1Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 22, 80125 Naples, Italy.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
电心电图 (ECG) 信号为估计呼吸率 (RR) 提供了比光电心电图 (PPG) 更可靠的方法. 这项研究为持续的呼吸监测提供了一种经济有效的非侵入性方法.
科学领域:
- 生物医学工程
- 生理监测
- 信号处理
背景情况:
- 呼吸速率 (RR) 是诊断临床恶化的关键重要标志.
- 传统的RR监测方法在临床环境中存在局限性.
- 电心电图 (ECG) 和光电图 (PPG) 提供了改善RR监测的潜力.
研究的目的:
- 从心电图和PPG信号中提取呼吸率 (RR) 的新方法的开发和验证.
- 将心电图与PPG信号的RR估计的准确性和可靠性进行比较.
- 评估非侵入性持续呼吸监测的可能性.
主要方法:
- 使用形态和时间特征从心电图和PPG信号中提取RR.
- 使用公开可用的数据集:iAMwell和Capnobase.
- 评估了心电图特征,包括R峰,QRS区域和QRS斜率.
- 评估PPG特征,例如振幅和频率调制.
主要成果:
- 基于心电图的RR估计显示出较低的误差 (例如,iAMwell的MAE为0.99次呼吸/分钟),而不是PPG的RR (例如,iAMwell的MAE为5.10次呼吸/分钟).
- 布兰德- 阿尔特曼分析表明,对心电图衍生RR的轻微低估偏差和对PPG衍生RR的高估偏差.
- 在这两组数据中,来自心电图的特征对RR估计的可靠性更高.
结论:
- 拟议的方法可实现成本高效的,非侵入性的持续呼吸监测.
- 这种方法可以作为一种可靠的工具来检测压力,焦虑和睡眠障碍等情况.
- 基于心电图的RR估计是传统方法的一个有希望的替代方案.
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