验证一种基于智能手机的新型光斑发电法方法用于门诊心律诊断:SMARTBEATS研究
Jonatan Fernstad1,2, Emma Svennberg3, Peter Åberg1
1Karolinska Institutet, Department of Clinical Sciences, Danderyd University Hospital, Entrévägen 2, 182 88, Stockholm, Sweden.
概括
智能手机光电脉扫描 (PPG) 准确诊断心房动 (AF) 和心房动 (AFL) 在家无人监督的情况下. 这种方法显示出高灵敏度和特异性,可能作为一个独立的诊断工具.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 医学诊断 医学诊断 医学诊断
背景情况:
- 目前的指导方针不建议使用智能手机的光电脉动扫描 (PPG) 诊断心房动 (AF) 在没有心电图 (ECG) 确认的情况下.
- 以前的验证研究是在监督的医疗保健环境中进行的,这限制了现实世界的适用性.
研究的目的:
- 为了评估智能手机PPG方法在无监督的现实环境中的诊断性能.
- 为了比较门诊智能手机PPG记录与同时进行的心电图记录.
- 在评估中包括心房 (AFL) 患者.
主要方法:
- 由于AF或AFL而接受心脏转换的未经选择的患者在30天内在家中使用iPhone 7与CORAI心脏监测PPG应用程序和KardiaMobile心电图一起进行1分钟心律记录.
- 两位经验丰富的读者独立阅读录音.
- 总共有280名患者生成了18005个同时的PPG和ECG记录.
主要成果:
- 实现了高记录质量:96.9%的PPG和95.1%的心电图.
- 与心电图相比,手动阅读PPG记录显示了高的诊断准确性.
- 灵敏度,特异性和整体精度为97.7%,99.4%和98.9% (包括AFL),以及99.0%,99.7%和99.5% (不包括AFL).
结论:
- 一种新的智能手机PPG方法使得AF和AFL的准确,无监督的家庭诊断成为可能.
- 该设备具有非常高的灵敏度和特异性.
- 这种智能手机PPG技术可以作为心脏转变后的独立诊断设备,而不需要ECG确认.
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