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An Overview of Heart Rate Variability Metrics and Norms

Overview of attention for article published in Frontiers in Public Health, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
13 news outlets
blogs
7 blogs
twitter
42 tweeters
patent
4 patents
facebook
2 Facebook pages
wikipedia
4 Wikipedia pages
video
4 video uploaders

Citations

dimensions_citation
2270 Dimensions

Readers on

mendeley
4003 Mendeley
citeulike
2 CiteULike
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Title
An Overview of Heart Rate Variability Metrics and Norms
Published in
Frontiers in Public Health, September 2017
DOI 10.3389/fpubh.2017.00258
Pubmed ID
Authors

Fred Shaffer, J. P. Ginsberg

Abstract

Healthy biological systems exhibit complex patterns of variability that can be described by mathematical chaos. Heart rate variability (HRV) consists of changes in the time intervals between consecutive heartbeats called interbeat intervals (IBIs). A healthy heart is not a metronome. The oscillations of a healthy heart are complex and constantly changing, which allow the cardiovascular system to rapidly adjust to sudden physical and psychological challenges to homeostasis. This article briefly reviews current perspectives on the mechanisms that generate 24 h, short-term (~5 min), and ultra-short-term (<5 min) HRV, the importance of HRV, and its implications for health and performance. The authors provide an overview of widely-used HRV time-domain, frequency-domain, and non-linear metrics. Time-domain indices quantify the amount of HRV observed during monitoring periods that may range from ~2 min to 24 h. Frequency-domain values calculate the absolute or relative amount of signal energy within component bands. Non-linear measurements quantify the unpredictability and complexity of a series of IBIs. The authors survey published normative values for clinical, healthy, and optimal performance populations. They stress the importance of measurement context, including recording period length, subject age, and sex, on baseline HRV values. They caution that 24 h, short-term, and ultra-short-term normative values are not interchangeable. They encourage professionals to supplement published norms with findings from their own specialized populations. Finally, the authors provide an overview of HRV assessment strategies for clinical and optimal performance interventions.

Twitter Demographics

The data shown below were collected from the profiles of 42 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4,003 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4003 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 578 14%
Student > Ph. D. Student 577 14%
Student > Bachelor 540 13%
Researcher 408 10%
Student > Doctoral Student 241 6%
Other 592 15%
Unknown 1067 27%
Readers by discipline Count As %
Medicine and Dentistry 531 13%
Engineering 473 12%
Psychology 424 11%
Neuroscience 237 6%
Sports and Recreations 204 5%
Other 847 21%
Unknown 1287 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 170. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 November 2022.
All research outputs
#193,536
of 22,610,790 outputs
Outputs from Frontiers in Public Health
#88
of 9,460 outputs
Outputs of similar age
#4,421
of 298,939 outputs
Outputs of similar age from Frontiers in Public Health
#3
of 80 outputs
Altmetric has tracked 22,610,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,460 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.