首页|采用可穿戴设备连续光电容积脉搏波算法检测心房颤动的临床价值

采用可穿戴设备连续光电容积脉搏波算法检测心房颤动的临床价值

Clinical value of continuous photoplethysmography algorithms for detection of atrial fibrillation by wearable devices

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目的 评估连续光电容积脉搏波算法应用于可穿戴设备时,检出心房颤动(房颤)和评估房颤负荷的准确性.方法 本研究是一项自身对照的前瞻性队列研究,连续纳入2022年9至11月于首都医科大学附属北京安贞医院心内科住院治疗的254例房颤患者.所有受试者同时佩戴2种设备:(1)心电手表,用于采集光电容积脉搏波(W-PPG)和心电图(W-ECG);(2)心电贴,用于采集心电图(P-ECG).分别以30s数据片段和受试者个体为单位,将心电手表得出的测量结果与心电图专家判读心电贴结果相对比,采用受试者工作特征曲线评估其敏感度和特异度.按照房颤负荷比例均分为4个分段,计算由房颤分析软件得出的房颤负荷与心电图专家判别心电贴结果得出的房颤负荷差值.结果 254例受试者的年龄为(63.04±11.04)岁,99例(38.98%)为女性,持续性房颤患者97例(38.19%).以心电图专家判读心电贴的结果为标准,以片段为单位时,P-ECG算法的敏感度为94.86%(95%CI:94.81%~94.91%),特异度为 99.30%(95%CI:99.28%~99.31%),W-PPG 算法的敏感度为96.07%(95%CI:95.97%~96.18%),特异度为 98.62%(95%CI:98.59%~98.65%);以个体为单位时,P-ECG 算法的敏感度为 92.55%(95%CI:87.57%~95.71%),特异度为 96.39%(95%CI:93.45%~98.09%),W-PPG 算法的敏感度为 93.71%(95%CI:88.75%~96.67%),特异度为 89.62%(95%CI:85.61%~92.65%);以单次采集W-ECG记录为单位时,W-ECG算法的敏感度为92.04%(95%CI:88.14%~94.78%),特异度为96.19%(95%CI:94.35%~97.47%).房颤负荷评估方面,各负荷分布区间内W-PPG分析结果与心电图专家判读心电贴结果相差均小于2%.结论 连续PPG算法应用于可穿戴设备检测房颤是一种可行策略.以心电图专家判读心电贴的结果为标准,通过智能手表连续监测PPG对于房颤诊断具有较高的准确性,同时也可有效地完成房颤负荷评估.
Objective To evaluate the accuracy of continuous photoplethysmography algorithms for atrial fibrillation diagnosis and atrial fibrillation burden evaluation via wearable devices.Methods This study was a self-controlled prospective cohort study.A total of 254 consecutive inpatients were recruited from the Department of Cardiology,Beijing Anzhen Hospital,Capital Medical University from September 2022 to November 2022.All participants were required to wear two devices at the same time:(1)an electrocardiogram(ECG)watch for acquisition of photoplethysmography(watch-recorded-photoplethysmography,W-PPG)and electrocardiogram(watch-recorded-electrocardiogram,W-ECG);(2)an ECG patch for acquisition of electrocardiogram(patch-recorded-electrocardiogram,P-ECG).The results were measured in 30 s data segments and individual participants,separately,which were calculated for sensitivity and specificity by comparing them with the results of expert-read ECG according to the receiver operating characteristic curve.Four groups were separated according to the proportion of the atrial fibrillation burden,and the difference of atrial fibrillation burden from algorithm and expert-read ECG was calculated.Results All 254 subjects completed the study.The mean age of participants was(63.04± 11.04)years old,99(38.98%)of them were female,and 97(38.19%)patients had persistent atrial fibrillation.Expert-read ECG results were taken as standard criteria in all calculations.The P-ECG algorithm had a sensitivity of 94.86%(95%CI:94.81%-94.91%)and a specificity of 99.30%(95%CI:99.28%-99.31%)when measured in data segments.The W-PPG algorithm had a sensitivity of 96.07%(95%CI:95.97%-96.18%)and a specificity of 98.62%(95%CI:98.59%-98.65%).When measured in terms of individual participants,the P-ECG algorithm had a sensitivity of 92.55%(95%CI:87.57%-95.71%)and a specificity of 96.39%(95%CI:93.45%-98.09%),while the W-PPG algorithm had a sensitivity of 93.71%(95%CI:88.75%-96.67%)and a specificity of 89.62%(95%CI:85.61%-92.65%).When measured in terms of a single acquisition of W-ECG records,the W-ECG algorithm had a sensitivity of 92.04%(95%CI:88.14%-94.78%)and a specificity of 96.19%(95%CI:94.35%-97.47%).For atrial fibrillation burden assessment,the difference between the W-PPG analysis results and the expert-read ECG results was less than 2%in all burden distribution intervals.Conclusions Continuous photoplethysmography algorithm applied to wearable devices to detect atrial fibrillation is a feasible strategy.Taking expert-read ECG results as standard,continuous monitoring of PPG by a smartwatch is highly accurate for atrial fibrillation diagnosis and can also be used to effectively complete atrial fibrillation burden assessment.

Atrial fibrillationAtrial fibrillation burdenPhotoplethysmographyElectrocardiogramSmartwatchWearable deviceAlgorithmContinuous monitoring

李起帆、左嵩、赖一炜、李思彤、桑才华、杜昕、董建增、马长生

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首都医科大学附属北京安贞医院心内科,北京 100029

心房颤动 心房颤动负荷 光电容积脉搏波 心电图 智能手表 可穿戴设备 算法 连续监测

国家重点研发计划国家自然科学基金

2022YFC360130082270316

2024

中华心血管病杂志
中华医学会

中华心血管病杂志

CSTPCD北大核心
影响因子:2.846
ISSN:0253-3758
年,卷(期):2024.52(5)
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