Evidence map›Paper›PMID 38377012›Full record

ArticleMedicine and science in sports and exercise2024

Development and Calibration of a PATCH Device for Monitoring Children's Heart Rate and Acceleration.

Bridget Armstrong, R Glenn Weaver, Jonas McAninch, Michal T Smith, Hannah Parker, Abbi D Lane, Yuan Wang, Russell R Pate, Mafruda Rahman, David W Matolak and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine and science in sports and exercise, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Bridget ArmstrongDepartment of Exercise Science, University of South Carolina, Columbia, SC.
R Glenn WeaverDepartment of Exercise Science, University of South Carolina, Columbia, SC.
Jonas McAninchDepartment of Electrical Engineering, University of South Carolina, Columbia, SC.
Michal T SmithDepartment of Exercise Science, University of South Carolina, Columbia, SC.
Hannah ParkerDepartment of Exercise Science, University of South Carolina, Columbia, SC.
Abbi D LaneDepartment of Exercise Science, University of South Carolina, Columbia, SC.
Yuan WangEpidemiology and Biostatistics at the University of South Carlina, Columbia, SC.
Russell R PateDepartment of Exercise Science, University of South Carolina, Columbia, SC.
Mafruda RahmanDepartment of Electrical Engineering, University of South Carolina, Columbia, SC.
David W MatolakDepartment of Electrical Engineering, University of South Carolina, Columbia, SC.
M V S ChandrashekharDepartment of Electrical Engineering, University of South Carolina, Columbia, SC.

Funding

Targeting Behavioral Adjustment and Healthy Lifestyle in Preschool-Age Children Using an Integrated Family-Based InterventionP20GM130420 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COOPER, DANIEL KABAT · 2020 to 2024
$11.2M
Using Open-Source Technology to Measure Energy Expenditure and Sleep Among Children 3 to 8 Years OldR01HL171295 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Bridget R. Armstrong · 2024 to 2026
$2.1M
Validity and Utility of a PATCH to Monitor Free-living Energy Expenditure in Children 3 to 8 Years OldR21DK131387 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ARMSTRONG, BRIDGET R. · 2021 to 2022
$395k
NHLBI NIH HHS R01 HL171295NIDDK NIH HHS R21 DK131387NIGMS NIH HHS P20 GM130420
6 · The paper itself

Abstract

introductionCurrent wearables that collect heart rate and acceleration were not designed for children and/or do not allow access to raw signals, making them fundamentally unverifiable. This study describes the creation and calibration of an open-source multichannel platform (PATCH) designed to measure heart rate and acceleration in children ages 3-8 yr.

methodsChildren (N = 63; mean age, 6.3 yr) participated in a 45-min protocol ranging in intensities from sedentary to vigorous activity. Actiheart-5 was used as a comparison measure. We calculated mean bias, mean absolute error (MAE) mean absolute percent error (MA%E), Pearson correlations, and Lin's concordance correlation coefficient (CCC).

resultsMean bias between PATCH and Actiheart heart rate was 2.26 bpm, MAE was 6.67 bpm, and M%E was 5.99%. The correlation between PATCH and Actiheart heart rate was 0.89, and CCC was 0.88. For acceleration, mean bias was 1.16 mg and MAE was 12.24 mg. The correlation between PATCH and Actiheart was 0.96, and CCC was 0.95.

conclusionsThe PATCH demonstrated clinically acceptable accuracies to measure heart rate and acceleration compared with a research-grade device.

Indexed as

Heart RateAccelerationAccelerometryCalibrationChildChild, PreschoolFemaleHumansMaleWearable Electronic Devices

Identifiers

PMID38377012
PMCPMC11096080

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.