Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring?

被引:5
|
作者
Sheridan, David C. [1 ,2 ]
Domingo, Karyssa N. [1 ]
Dehart, Ryan [1 ]
Baker, Steven D. [1 ]
机构
[1] Oregon Hlth & Sci Univ, Dept Emergency Med, Portland, OR 97201 USA
[2] Oregon Hlth & Sci Univ, Ctr Policy & Res Emergency Med, Portland, OR 97201 USA
来源
FRONTIERS IN PSYCHIATRY | 2021年 / 12卷
关键词
heart rate variability; suicidality; wearable technology; anxiety; outpatient; NERVOUS-SYSTEM; STRESS;
D O I
10.3389/fpsyt.2021.682553
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Heart rate variability (HRV) evaluates beat-to-beat interval (BBI) differences and is a suggested marker of the autonomic nervous system with diagnostic/monitoring capabilities in mental health; especially parasympathetic measures. The standard duration for short-term HRV analysis ranges from 24 h down to 5-min. However, wearable technology, mainly wrist devices, have large amounts of motion at times resulting in need for shorter duration of monitoring. The objective of this study was to evaluate the correlation between 1 and 5 min segments of continuous HRV data collected simultaneously on the same patient. Subjects wore a patch electrocardiograph (Cardea Solo, Inc.) over a 1-7 day period. For every consecutive hour the patch was worn, we selected a 5-min, artifact-free electrocardiogram segment. HRV metric calculation was performed to the entire 5-min segment and the first 1-min from this same 5-min segment. There were 492 h of electrocardiogram data collected allowing calculation of 492 5 min and 1 min segments. 1 min segments of data showed good correlation to 5 min segments in both time and frequency domains: root mean square of successive difference (RMSSD) (R = 0.92), high frequency component (HF) (R = 0.90), low frequency component (LF) (R = 0.71), and standard deviation of NN intervals (SDNN) (R = 0.63). Mental health research focused on parasympathetic HRV metrics, HF and RMSSD, may be accomplished through smaller time windows of recording, making wearable technology possible for monitoring.
引用
收藏
页数:6
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