4.6 Article

Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation

期刊

EUROPACE
卷 25, 期 3, 页码 835-844

出版社

OXFORD UNIV PRESS
DOI: 10.1093/europace/euad011

关键词

Persistent atrial fibrillation; 1 min mean heart rate assessment; Photoplethysmography; Electrocardiography; Mobile health

向作者/读者索取更多资源

This study aimed to evaluate the accuracy of continuous PPG-based 1 min mean heart rate assessment during persistent AF. By comparing PPG-based smartwatch and Holter ECG monitoring in 50 AF patients, it was found that PPG technology showed high accuracy and small estimation error in 1 min mean heart rate compared with Holter ECG. Only chronic heart failure was associated with a lower agreement between ECG-derived and PPG-derived heart rates.
Aims Although mobile health tools using photoplethysmography (PPG) technology have been validated for the detection of atrial fibrillation (AF), their utility for heart rate assessment during AF remains unclear. Therefore, we aimed to evaluate the accuracy of continuous PPG-based 1 min mean heart rate assessment during AF. Methods and results Persistent AF patients were provided with Holter electrocardiography (ECG) (for >= 24 h) simultaneously with a PPG-equipped smartwatch. Both the PPG-based smartwatch and Holter ECG automatically and continuously monitored patients' heart rate/rhythm. ECG and PPG recordings were synchronized and divided into 1 min segments, from which a PPG-based and an ECG-based average heart rate estimation were extracted. In total, 47 661 simultaneous ECG and PPG 1 min heart rate segments were analysed in 50 patients (34% women, age 73 +/- 8 years). The agreement between ECG-determined and PPG-determined 1 min mean heart rate was high [root mean squared error (RMSE): 4.7 bpm]. The 1 min mean heart rate estimated using PPG was accurate within +/- 10% in 93.7% of the corresponding ECG-derived 1 min mean heart rate segments. PPG-based 1 min mean heart rate estimation was more often accurate during night-time (97%) than day-time (91%, P < 0.001) and during low levels (96%) compared to high levels of motion (92%, P < 0.001). A neural network with a 10 min history of the recording did not further improve the PPG-based 1 min mean heart rate assessment [RMSE: 4.4 (95% confidence interval: 3.5-5.2 bpm)]. Only chronic heart failure was associated with a lower agreement between ECG-derived and PPG-derived 1 min mean heart rates (P = 0.040). Conclusion During persistent AF, continuous PPG-based 1 min mean heart rate assessment is feasible in 60% of the analysed period and shows high accuracy compared with Holter ECG for heart rates <110 bpm.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据