从心电图和光心电图信号中持续估计心率变化,使用振荡波形图案方法
Maksim O Zhuravlev1, Anastasiya E Runnova1,2, Sergei A Mironov1
1Coordinating Center for Fundamental Research, National Medical Research Center for Therapy and Preventive Medicine, 101990 Moscow, Russia.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
这项研究引入了一种新的心率 (HR) 检测方法,使用连续波形变换,适用于心电图和PPG信号. 这种新的方法显示了对信号噪声的高精度和稳定性,提供了改进的HRV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
- 心血管生理学心血管生理学
背景情况:
- 准确的心率 (HR) 监测对于诊断心脏病和评估整体健康至关重要.
- 传统的HR检测方法,如R峰分析,可能对信号噪声和扭曲敏感.
- 时间频率分析为生物医学应用中强大的信号处理提供了一个有希望的途径.
研究的目的:
- 开发和验证一种使用连续波波变换 (CWT) 进行时频分析的新型心率检测方法.
- 评估基于CWT的方法对心电图 (ECG) 和光电图 (PPG) 信号的适用性.
- 将拟议的HR检测技术的性能与传统的R峰分析进行比较.
主要方法:
- 拟议的方法分析来自CWT的振荡模式,用于HR检测.
- 在40名健康志愿者的10分钟记录中,对40名健康志愿者的心电图 (V1) 和PPG信号进行了实验.
- 性能与基于R峰形状分析的传统HR检测方法进行了评估.
主要成果:
- 基于CWT的HR检测方法与传统方法达成了可接受的一致性,差异不超过3.41%.
- 拟议的技术证明了对信号扭曲和噪声的稳定性,不需要额外的过.
- 即使使用差异PPG信号和患者行走 (行走) 时,也可以成功检测HR.
结论:
- 这种基于CWT的新方法提供了一种可靠的方法,可以通过ECG和PPG信号检测心率.
- 这种方法为HR数据提供了增强的等距离采样频率,并扩大了对心率变化 (HRV) 频率组成的洞察力.
- 该技术对信号工件的弹性使其适合于现实世界,潜在的噪音,生理监测场景.
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