在近期开始的心房动中用光电脉动扫描:自动检测节律变化和负担
Olli A Rantula1,2,3, Jukka A Lipponen4, Jari Halonen1,3
1School of Medicine, Faculty of Health Sciences, University of Eastern Finland, PO Box 1627, 70210 Kuopio, Finland.
European heart journal. Digital health
|July 24, 2025
概括
带有自动化分析的光电脉动扫描 (PPG) 可以有效检测心房动 (AF),并监测心律变化. 这项技术在AF查和负担评估方面显著有前途,改善了患者的治疗结果.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗器械 医疗器械
背景情况:
- 心房动 (AF) 是最常见的心律失常,显著增加中风风险.
- 肌前膜异位症的无症状和发性性质带来了诊断挑战.
- 早期检测和持续监测对于管理AF和预防并发症至关重要.
研究的目的:
- 为了评估光电缩学 (PPG) 与用于检测AF的自动化分析相结合的疗效.
- 评估PPG在量化AF负担和监测从AF到鼻腔节律 (SR) 的节律过渡中的能力.
- 确定PPG作为AF查工具的潜力.
主要方法:
- 九十名近期发病的AF患者 (<48小时) 使用三通道PPG腕带进行了监测.
- 门诊三导电心电图 (ECG) 作为比较的黄金标准.
- 用各种检测窗口持续时间 (10-60分钟) 的自动化算法分析了PPG记录.
主要成果:
- 在AF检测中实现了高精度,灵敏度在93.9-94.6%之间,特异性在99.5-99.8%之间.
- 在估计AF负担时,在PPG和ECG之间观察到很好的一致性 (ICC 0.97-0.98).
- 在所有患者中检测到从AF到SR的节律变化 (100%的灵敏度),检测延迟取决于分析窗口.
结论:
- 自动化PPG分析在检测AF和监测节律状态方面表现出很高的性能.
- 这些发现支持PPG作为AF查和管理的非侵入性工具的潜力.
- 这项技术为改善临床实践中AF的检测和监测提供了一个有前途的途径.
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