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评估用于检测人体脉搏间期和心率变异性的轻心移动设备应用程序:验证研究

Examining the Light Heart Mobile Device App for Assessing Human Pulse Interval and Heart Rate Variability: Validation Study.

作者信息

Klassen Stephen A, Jabbar Jesica, Osborne Jenna, Iannarelli Nathaniel J, Kirby Emerson S, O'Leary Deborah D, Locke Sean

机构信息

Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.

Light Heart, Kelowna, BC, Canada.

出版信息

JMIR Form Res. 2024 Aug 20;8:e56921. doi: 10.2196/56921.

Abstract

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.

摘要

背景

脉搏间期是心理和生理健康的一个生物标志物。现在可以使用手机应用程序来评估脉搏间期,这扩展了研究人员在现实世界中评估脉搏间期的能力。在实施之前,应确定测量准确性。

目的

本研究评估了Light Heart手机应用程序在测量健康年轻成年人脉搏间期和心率变异性方面的有效性。

方法

通过比较14名年轻健康个体(平均年龄24岁,标准差5岁;n = 9,64%为女性)坐姿时Light Heart获得的脉搏间期和正常脉搏间期标准差与金标准心电图(ECG),来评估有效性。

结果

平均脉搏间期(Light Heart:859,标准差113毫秒;ECG:857,标准差112毫秒)在两种技术之间显示出强正线性相关性(r = 0.99;P <.001)和高度一致性(组内相关系数 = 1.00,95%可信区间0.99 - 1.00)。Bland-Altman图显示,Light Heart和ECG测量的平均脉搏间期一致性良好,存在固定偏差的证据(-1.56,标准差1.86;95%可信区间-5.2至2.1毫秒),表明Light Heart略微高估了脉搏间期。当为每个参与者的逐搏脉搏间期数据构建Bland-Altman图时,所有参与者在Light Heart和ECG之间均显示出高度一致性,测量之间无固定偏差的证据。通过正常脉搏间期标准差评估的心率变异性在两种技术之间显示出高度一致性(Light Heart:平均值73,标准差23毫秒;ECG:平均值73,标准差22毫秒;r = 0.99;P <.001;组内相关系数 = 0.99,95%可信区间0.97 - 1.00)。

结论

本研究提供的证据表明,Light Heart手机应用程序能有效测量健康年轻成年人的脉搏间期和心率变异性。

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