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Resolving Ambiguities in the LF/HF Ratio: LF-HF Scatter Plots for the Categorization of Mental and Physical Stress from HRV

Overview of attention for article published in Frontiers in Physiology, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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9 X users
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1 Wikipedia page

Citations

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331 Mendeley
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Title
Resolving Ambiguities in the LF/HF Ratio: LF-HF Scatter Plots for the Categorization of Mental and Physical Stress from HRV
Published in
Frontiers in Physiology, June 2017
DOI 10.3389/fphys.2017.00360
Pubmed ID
Authors

Wilhelm von Rosenberg, Theerasak Chanwimalueang, Tricia Adjei, Usman Jaffer, Valentin Goverdovsky, Danilo P. Mandic

Abstract

It is generally accepted that the activities of the autonomic nervous system (ANS), which consists of the sympathetic (SNS) and parasympathetic nervous systems (PNS), are reflected in the low- (LF) and high-frequency (HF) bands in heart rate variability (HRV)-while, not without some controversy, the ratio of the powers in those frequency bands, the so called LF-HF ratio (LF/HF), has been used to quantify the degree of sympathovagal balance. Indeed, recent studies demonstrate that, in general: (i) sympathovagal balance cannot be accurately measured via the ratio of the LF- and HF- power bands; and (ii) the correspondence between the LF/HF ratio and the psychological and physiological state of a person is not unique. Since the standard LF/HF ratio provides only a single degree of freedom for the analysis of this 2D phenomenon, we propose a joint treatment of the LF and HF powers in HRV within a two-dimensional representation framework, thus providing the required degrees of freedom. By virtue of the proposed 2D representation, the restrictive assumption of the linear dependence between the activity of the autonomic nervous system (ANS) and the LF-HF frequency band powers is demonstrated to become unnecessary. The proposed analysis framework also opens up completely new possibilities for a more comprehensive and rigorous examination of HRV in relation to physical and mental states of an individual, and makes possible the categorization of different stress states based on HRV. In addition, based on instantaneous amplitudes of Hilbert-transformed LF- and HF-bands, a novel approach to estimate the markers of stress in HRV is proposed and is shown to improve the robustness to artifacts and irregularities, critical issues in real-world recordings. The proposed approach for resolving the ambiguities in the standard LF/HF-ratio analyses is verified over a number of real-world stress-invoking scenarios.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 331 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 15%
Researcher 45 14%
Student > Master 40 12%
Student > Bachelor 27 8%
Student > Doctoral Student 25 8%
Other 59 18%
Unknown 85 26%
Readers by discipline Count As %
Engineering 58 18%
Psychology 40 12%
Medicine and Dentistry 38 11%
Computer Science 17 5%
Neuroscience 16 5%
Other 65 20%
Unknown 97 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 September 2021.
All research outputs
#3,674,339
of 22,981,247 outputs
Outputs from Frontiers in Physiology
#1,894
of 13,727 outputs
Outputs of similar age
#66,282
of 317,509 outputs
Outputs of similar age from Frontiers in Physiology
#60
of 278 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,727 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 86% 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 317,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.