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PreprintCited by 4Heart Rate Variability and Autonomic ControlNon-Invasive Vital Sign MonitoringPhysical Activity and Health

Heart Rate Variability with Photoplethysmography in 8 Million Individuals: Results and Scaling Relations with Age, Gender, and Time of Day

Open access
Natarajan, Aravind, Pantelopoulos, Alexandros, Emir-Farinas, Hulya, Natarajan, Pradeep·2019·bioRxiv (Cold Spring Harbor Laboratory)
DOI 10.1101/772285
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Abstract

Heart rate variability, or the variation in the time interval between consecutive beats, is a non-invasive dynamic metric of the autonomic nervous system and an independent risk factor for cardiovascular death. Prior limitations of use include requirements for continuous electrocardiography and lack of reference standards. Consumer wrist-worn tracking devices using photoplethysmography now provide the unique potential of continuously measuring surrogates of sympathetic and parasympathetic activity through the analysis of interbeat intervals. Here we leverage wrist-worn trackers to present the largest, to our knowledge, analysis of heart rate variability in humans across the time, frequency, and graphical domains. We derive diurnal parasympathetic and sympathetic measures and provide scaling parameters by age, sex, and time of day. Poincare plots graphically summarize heart rate variability metrics and may detect common arrhythmias. Lastly, we observe a strong dose-dependent correlation between daily steps and optimal heart rate variability metrics. Our results provide the ability to interpret continuous heart rate variability for tens of millions of wrist-worn trackers already in use.

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    From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [26]

  • Some researchers have worked with industry partners to derive measurements of heart rate variability.

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    From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [26]

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Authors
Natarajan, A., Pantelopoulos, A., Emir-Farinas, H., & Natarajan, P.
Affiliations
  • Fitbit (United States) (US)
  • Broad Institute (US)
Corresponding author
Natarajan, Aravind
ORCID
Venue
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Published
2019-09-18
DOI
10.1101/772285
OpenAlex
W2973968950
Cited by
4
References
39
Citations by year
2022: 1 · 2021: 1 · 2020: 2
Type
posted content
Language
en
Open access
Locations
bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
Funders
  • Amgen (R01HL148050, R01HL148565)
  • Massachusetts General Hospital
  • Boston Scientific Corporation (R01HL148565, R01HL148050)
  • National Heart, Lung, and Blood Institute (R01HL148050, R01HL142711, R01HL148565)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
Keywords
heart rate variability, photoplethysmography, autonomic nervous system, parasympathetic activity, sympathetic activity, diurnal variation, Poincaré plot, arrhythmia detection, physical activity, step count, cardiovascular risk

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