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A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics

Overview of attention for article published in Frontiers in Physiology, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
A “Wearable” Test for Maximum Aerobic Power: Real-Time Analysis of a 60-m Sprint Performance and Heart Rate Off-Kinetics
Published in
Frontiers in Physiology, November 2017
DOI 10.3389/fphys.2017.00868
Pubmed ID
Authors

Jorge L. Storniolo, Gaspare Pavei, Alberto E. Minetti

Abstract

Maximum aerobic power ([Formula: see text]) as an indicator of body fitness is today a very well-known concept not just for athletes but also for the layman. Unfortunately, the accurate measurement of that variable has remained a complex and exhaustive laboratory procedure, which makes it inaccessible to many active people. In this paper we propose a quick estimate of it, mainly based on the heart rate off-kinetics immediately after an all-out 60-m sprint run. The design of this test took into account the recent availability of wrist wearable, heart band free, multi-sensor smart devices, which could also inertially detect the different phases of the sprint and check the distance run. 25 subjects undertook the 60-m test outdoor and a [Formula: see text] test on the laboratory treadmill. Running average speed, HR excursion during the sprint and the time constant (τ) of HR exponential decay in the off-kinetics were fed into a multiple regression, with measured [Formula: see text] as the dependent variable. Statistics revealed that within the investigated range (25-55 ml O2/(kg min)), despite a tendency to overestimate low values and underestimate high values, the three predictors confidently estimate individual [Formula: see text] (R(2) = 0.65, p < 0.001). The same analysis has been performed on a 5-s averaged time course of the same measured HR off-kinetics, as these are the most time resolved data for HR provided by many modern smart watches. Results indicate that despite of the substantial reduction in sample size, predicted [Formula: see text] still explain 59% of the variability of the measured [Formula: see text].

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Student > Master 8 13%
Researcher 6 10%
Student > Bachelor 4 7%
Student > Doctoral Student 2 3%
Other 8 13%
Unknown 23 38%
Readers by discipline Count As %
Sports and Recreations 12 20%
Medicine and Dentistry 7 12%
Engineering 3 5%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 2 3%
Other 8 13%
Unknown 25 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 November 2017.
All research outputs
#6,970,271
of 23,007,053 outputs
Outputs from Frontiers in Physiology
#3,312
of 13,760 outputs
Outputs of similar age
#114,611
of 329,160 outputs
Outputs of similar age from Frontiers in Physiology
#94
of 347 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,760 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 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 329,160 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 64% of its contemporaries.
We're also able to compare this research output to 347 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.