Why the study?
Wearable devices experience motion artifacts, driving a need for shorter heart rate variability monitoring durations than the standard 5 minutes.
Does 1-minute HRV data correlate with standard 5-minute HRV data in subjects wearing a patch electrocardiograph?
Does 1-minute HRV data correlate with standard 5-minute HRV data in subjects wearing a patch electrocardiograph?
1-minute segments of HRV data show good correlation with standard 5-minute segments, particularly for parasympathetic metrics, potentially facilitating HRV monitoring via wearable technology.
May support shorter wearable HRV monitoring; leaves open prospective validation against clinical outcomes.
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.
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Sheridan et al. (2021) studied this question.
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