背景:脉搏间隔是心理和生理健康的生物标志物。现在可以使用手机应用程序评估脉搏间隔,这扩展了研究人员在现实世界中评估脉搏间隔的能力。在实施之前,应建立测量精度。
目的:这项调查评估了LightHeart移动应用程序在健康年轻人中测量脉搏间隔和脉搏率变异性的有效性。
方法:通过将LightHeart获得的脉搏间隔和正常脉搏间隔的SD与金标准进行比较来评估有效性,心电图(ECG),在14名年轻健康个体中(平均年龄24岁,SD5岁;n=9,64%女性)坐姿。
结果:平均脉搏间隔(轻度心脏:859,SD113ms;ECG:857,SD112ms)显示出强的正线性相关(r=0.99;P<.001)和技术之间的强一致性(组内相关系数=1.00,95%CI0.99-1.00)。Bland-Altman图显示了用LightHeart和ECG测得的平均脉搏间隔的良好一致性,具有固定偏差的证据(-1.56,SD1.86;95%CI-5.2至2.1ms),这表明LightHeart稍微高估了脉搏间隔。当Bland-Altman图为每个参与者的逐次搏动脉搏间隔数据构建时,所有参与者在LightHeart和ECG之间表现出非常一致的结果,没有证据表明测量之间存在固定偏倚.心率变异性,通过正常脉搏间隔的SD评估,技术之间证明了很强的一致性(轻心脏:平均73,SD23ms;心电图:平均73,SD22ms;r=0.99;P<.001;组内相关系数=0.99,95%CI0.97-1.00)。
结论:这项研究提供了证据,表明LightHeart移动应用程序可以有效地测量健康年轻人的脉搏间隔和心率变异性。
BACKGROUND: Pulse interval is a biomarker of psychological and physiological health. Pulse interval can now be assessed using mobile phone apps, which expands researchers\' ability to assess pulse interval in the real world. Prior to implementation, measurement accuracy should be established.
OBJECTIVE: This investigation evaluated the validity of the Light Heart mobile app to measure pulse interval and pulse rate variability in healthy young adults.
METHODS: Validity was assessed by comparing the pulse interval and SD of normal pulse intervals obtained by Light Heart to the gold standard, electrocardiogram (ECG), in 14 young healthy individuals (mean age 24, SD 5 years; n=9, 64% female) in a seated posture.
RESULTS: Mean pulse interval (Light Heart: 859, SD 113 ms; ECG: 857, SD 112 ms) demonstrated a strong positive linear correlation (r=0.99; P<.001) and strong agreement (intraclass correlation coefficient=1.00, 95% CI 0.99-1.00) between techniques. The Bland-Altman plot demonstrated good agreement for the mean pulse interval measured with Light Heart and ECG with evidence of fixed bias (-1.56, SD 1.86; 95% CI -5.2 to 2.1 ms), suggesting that Light Heart overestimates pulse interval by a small margin. When Bland-Altman plots were constructed for each participant\'s beat-by-beat pulse interval data, all participants demonstrated strong agreement between Light Heart and ECG with no evidence of fixed bias between measures. Heart rate variability, assessed by SD of normal pulse intervals, demonstrated strong agreement between techniques (Light Heart: mean 73, SD 23 ms; ECG: mean 73, SD 22 ms; r=0.99; P<.001; intraclass correlation coefficient=0.99, 95% CI 0.97-1.00).
CONCLUSIONS: This study provides evidence to suggest that the Light Heart mobile app provides valid measures of pulse interval and heart rate variability in healthy young adults.