PURPOSE: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.
METHODS: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.
RESULTS: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.
CONCLUSION: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.
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【Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects.].
【深呼吸测试和5分钟短期记录中的心率变异性（HRV）：在343位受试者中，耳光体积描记法与ECG测量值一致。】
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DOI：10.1007/s00421-016-3401-3文章类型：杂志文章
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目的：我们分析了心电图和光电容积描记法（PPG）测得的心率变异性（HRV），以评估其一致性。我们还分析了PPG的敏感性和特异性，以鉴定低HRV的受试者，作为其在临床应用中潜在用途的一个例子。
方法：在1分钟的深呼吸测试（DBT）中测量了HRV参数：平均心率（HR），幅度和心率振荡比（EI差，E / I比），RMSSD，SDNN和Power LF ）中的343个人，然后是5分钟的短期HRV（s-HRV），其中的HRV参数为：HR，SD1，SD2，SDNN，压力指数，功率HF，功率LF，功率VLF和总功率，也被确定。通过Bland-Altman图通过相关分析和一致性分析比较参数。
结果：s-HRV中PPG导出的参数HR和SD2显示出比SD1，Power HF和应力指数更好的一致性，而在DBT HR中，E / I比和SDNN优于Power LF和RMSSD。 DBT产生了比s-HRV更强的一致性。发现PPG HRV略高于HCG HRV。 s-HRV中的HR，总功率和SD2，DBT中的HR，功率LF和SDNN对检测HRV较差的个体显示出高灵敏度和特异性。为基于PPG的设备的未来开发提供了截止百分位数。
结论：当使用适当的参数时，PPG测量的HRV与ECG HRV显示出良好的一致性，并且基于PPG的设备可以用作检测HRV较差的个体的简便筛查工具，尤其是在1分钟DBT测试中。
方法：在1分钟的深呼吸测试（DBT）中测量了HRV参数：平均心率（HR），幅度和心率振荡比（EI差，E / I比），RMSSD，SDNN和Power LF ）中的343个人，然后是5分钟的短期HRV（s-HRV），其中的HRV参数为：HR，SD1，SD2，SDNN，压力指数，功率HF，功率LF，功率VLF和总功率，也被确定。通过Bland-Altman图通过相关分析和一致性分析比较参数。
结果：s-HRV中PPG导出的参数HR和SD2显示出比SD1，Power HF和应力指数更好的一致性，而在DBT HR中，E / I比和SDNN优于Power LF和RMSSD。 DBT产生了比s-HRV更强的一致性。发现PPG HRV略高于HCG HRV。 s-HRV中的HR，总功率和SD2，DBT中的HR，功率LF和SDNN对检测HRV较差的个体显示出高灵敏度和特异性。为基于PPG的设备的未来开发提供了截止百分位数。
结论：当使用适当的参数时，PPG测量的HRV与ECG HRV显示出良好的一致性，并且基于PPG的设备可以用作检测HRV较差的个体的简便筛查工具，尤其是在1分钟DBT测试中。
