Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects
Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects
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DOI：
10.1007/s00421-016-3401-3
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发表时间：
2016-08-01
影响因子：
3
通讯作者：
Lorenz, Juergen
中科院分区：
文献类型：
--
作者：
Weinschenk, Stefan W.;Beise, Reinhard D.;Lorenz, Juergen
我们分析了心电图和光电容积描记术（PPG）的心率变异性（HRV），以评估其一致性。我们还分析了PPG的灵敏度和特异性，以识别具有低HRV的受试者，作为其用于临床应用的潜在用途的示例。平均心率（HR）、振幅和心率振荡率在343名受试者中进行1分钟深呼吸试验（DBT），测量E-I差、E/I比、RMSSD、SDNN和功率LF，测定心率、SD 1、SD 2、SDNN、应激指数、功率HF、功率LF、功率VLF和总功率。通过Bland-Altman图对各参数进行相关性分析和一致性分析，PPG参数HR和SD 2在s-HRV中的一致性优于SD 1、Power HF和应激指数，而在DBT中HR、E/I比值和SDNN的一致性优于Power LF和RMSSD，差异具有上级性。DBT比s-HRV产生更强的一致性。与HCG HRV相比，PPG HRV略高估，s-HRV中的HR、Total Power和SD 2，DBT中的HR、Power LF和SDNN对检测HRV差的个体具有较高的敏感性和特异性。当使用适当的参数时，PPG测量的HRV与ECG HRV具有良好的一致性，PPG设备可以作为一种简单的筛查工具来检测HRV较差的个体，特别是在1 min DBT测试中。
We analyzed heart rate variability (HRV) taken by ECG and photoplethysmography (PPG) to assess their agreement. We also analyzed the sensitivity and specificity of PPG to identify subjects with low HRV as an example of its potential use for clinical applications.The HRV parameters: mean heart rate (HR), amplitude, and ratio of heart rate oscillation (E-I difference, E/I ratio), RMSSD, SDNN, and Power LF, were measured during 1-min deep breathing tests (DBT) in 343 individuals, followed by a 5-min short-term HRV (s-HRV), where the HRV parameters: HR, SD1, SD2, SDNN, Stress Index, Power HF, Power LF, Power VLF, and Total Power, were determined as well. Parameters were compared through correlation analysis and agreement analysis by Bland-Altman plots.PPG derived parameters HR and SD2 in s-HRV showed better agreement than SD1, Power HF, and stress index, whereas in DBT HR, E/I ratio and SDNN were superior to Power LF and RMSSD. DBT yielded stronger agreement than s-HRV. A slight overestimation of PPG HRV over HCG HRV was found. HR, Total Power, and SD2 in the s-HRV, HR, Power LF, and SDNN in the DBT showed high sensitivity and specificity to detect individuals with poor HRV. Cutoff percentiles are given for the future development of PPG-based devices.HRV measured by PPG shows good agreement with ECG HRV when appropriate parameters are used, and PPG-based devices can be employed as an easy screening tool to detect individuals with poor HRV, especially in the 1-min DBT test.