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Towards assessing the sympathovagal balance

Overview of attention for article published in Medical & Biological Engineering & Computing, July 2006
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 X user
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2 patents
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1 Facebook page

Citations

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2 Dimensions

Readers on

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38 Mendeley
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1 CiteULike
Title
Towards assessing the sympathovagal balance
Published in
Medical & Biological Engineering & Computing, July 2006
DOI 10.1007/s11517-006-0053-1
Pubmed ID
Authors

Melvyn J. Lafitte, Orin R. Sauvageot, Marion Fevre-Genoulaz, Marc Zimmermann

Abstract

Exact assessment of the autonomic nervous system's (ANS) activity by means of heart rate variability (HRV) is a long-standing challenge. Although many techniques have been proposed to take up the challenge, none ever proposed a rationale for the approach behind the technique or a satisfying discrimination of the two activities which underlie the autonomic control of HRV. We here propose a new method, providing both an understanding of the discrimination's nature and a framework which we believe leads to a thorough assessment of the sympathovagal balance, as a trajectory between points in a well-chosen space. The methodology assumes tools from scale invariance/covariance physics. The sympathovagal balance is obtained on a beat-to-beat basis with the dynamics portrayed through a trajectory. Furthermore, universal trajectories are sought which would comprehensively describe the effect of atropine and isoproterenol injections on systems underlying the heart pace variations. Non-invasive assessment of the respective activities of the sympathetic and parasympathetic subsystems of the ANS would be possible through cardiac autonomic measurements.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Switzerland 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 29%
Student > Ph. D. Student 6 16%
Student > Master 4 11%
Other 3 8%
Professor 2 5%
Other 8 21%
Unknown 4 11%
Readers by discipline Count As %
Engineering 13 34%
Medicine and Dentistry 11 29%
Psychology 2 5%
Neuroscience 2 5%
Computer Science 1 3%
Other 4 11%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 2018.
All research outputs
#7,205,295
of 25,374,647 outputs
Outputs from Medical & Biological Engineering & Computing
#491
of 2,053 outputs
Outputs of similar age
#27,014
of 88,736 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 75% 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 88,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them