使用可穿戴智能手表连续监测心房动:使用长期Holter作为参考
Yannan Pan1, Erdong Chen1, Shihui Jie1
1Department of Cardiology, Peking University First Hospital, Beijing, China.
Digital health
|January 27, 2025
概括
智能手表有效地监测心房动 (AF),即使是短暂的发作,显示高精度与霍尔特显示器相比. 性能因AF持续时间和一天中的时间而异.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 可穿戴设备显示出检测心房动 (AF) 的前途.
- 现有的研究往往侧重于更长的AF持续时间.
- 需要评估智能手表用于检测较短的AF情节的能力.
研究的目的:
- 评估智能手表的诊断性能,用于长期监测心房动.
- 评估智能手表在检测长期和短期AF发作中的有效性.
- 为了比较智能手表的AF检测与传统的霍尔特监控.
主要方法:
- 一项前性研究招募了2020年至2023年间的AF患者.
- 采用光电脉冲图 (PPG) 和心电图 (ECG) 算法的Amazfit智能手表与7天的霍尔特监视器进行了比较.
- 主要分析侧重于超过5分钟的AF检测,次要分析探索性能变化.
主要成果:
- 智能手表表现出高灵敏度和AF检测的积极预测值.
- 摄影电磁镜 (PPG) 算法显示100.0%的灵敏度和94.9%的PPV为AF>5分钟.
- 在智能手表和Holter衍生的AF负担之间观察到出色的相关性和一致性.
结论:
- 可穿戴的智能手表为持续的AF监控提供了令人满意的诊断性能.
- 由于对错误阳性结果的易感性,特异性是中度的.
- 智能手表的精度受到AF持续时间和监测时间 (白天与夜晚) 的影响.
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