Evidence map›Paper›PMID 36766401›Full record

ArticleAnimals : an open access journal from MDPI2023

Validation of an Equine Smart Textile System for Heart Rate Variability: A Preliminary Study.

Persephone McCrae, Hannah Spong, Nadia Golestani, Amin Mahnam, Yana Bashura, Wendy Pearson

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Article
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  7. Article
  8. The impact of skin preparation method on electrocardiogram quality in horses.The Canadian veterinary journal = La revue veterinaire canadienne · 2024
    Article
  9. 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

6 authors.

Persephone McCraeDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Hannah SpongDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Nadia GolestaniDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Amin MahnamDepartment of Research and Development, Myant Inc., Toronto, ON M9W 1B6, Canada.ORCID 0000-0001-7712-7657
Yana BashuraDepartment of Research and Development, Myant Inc., Toronto, ON M9W 1B6, Canada.
Wendy PearsonDepartment of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-3635-4594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocardiograms (ECGs), and associated heart rate (HR) and heart rate variability (HRV) measurements, are essential in assessing equine cardiovascular health and fitness. Smart textiles have gained popularity, but limited validation work has been conducted. Therefore, the objective of this study was to compare HR and HRV data obtained using a smart textile system (Myant) to the gold-standard telemetric device (Televet). Simultaneous ECGs were obtained using both systems in seven horses at rest and during a submaximal exercise test. Bland-Altman tests were used to assess agreement between the two devices. Strong to perfect correlations without significant differences between the two devices were observed for all metrics assessed. During exercise, mean biases of 0.31 bpm (95% limits of agreement: -1.99 to 2.61) for HR, 1.43 ms (-11.48 to 14.33) for standard deviation of R-R intervals (SDRR), and 0.04 (-2.30 to 2.38) for the HRV triangular index (TI) were observed. A very strong correlation was found between the two devices for HR (

Indexed as

arrhythmiacardiologyelectrocardiogramequineheart rate variabilitysmart textiletextile computing

Identifiers

PMID36766401
PMCPMC9913118

What OpenQuestion holds

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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.