Evidence map›Paper›PMID 37078641›Full record

ArticleBirth defects research2023

Methods for analyzing infant heart rate variability: A preliminary study.

Alex Claiborne, Alexandra Williams, Colby Jolly, Christy Isler, Edward Newton, Linda May, Stephanie George

Open access · hybridAbstract read
In one paragraph

Article in Birth defects research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Infant emotion regulation in the context of stress: Effects of heart rate variability and temperament.Stress and health : journal of the International Society for the Investigation of Stress · 2024
    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

7 authors at 1 institution in 1 country.

Alex ClaiborneHuman Performance Laboratory, Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0001-7427-3851
Alexandra WilliamsDepartment of Engineering, East Carolina University, Greenville, North Carolina, USA.
Colby JollyHuman Performance Laboratory, Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.
Christy IslerObstetrics and Gynecology, East Carolina University, Greenville, North Carolina, USA.
Edward NewtonObstetrics and Gynecology, East Carolina University, Greenville, North Carolina, USA.
Linda MayHuman Performance Laboratory, Department of Kinesiology, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0002-8231-2280
Stephanie GeorgeDepartment of Engineering, East Carolina University, Greenville, North Carolina, USA.
East Carolina University · US

Funding

American Heart Association #15GRNT24470029American Heart Association #18IPA34150006American Heart Association-American Stroke Association 18IPA34150006East Carolina University
6 · The paper itself

Abstract

Heart rate (HR) and heart rate variability (HRV) reflect autonomic development in infants. To better understand the autonomic response in infants, reliable HRV recordings are vital, yet no protocol exists. The purpose of this paper is to present reliability of a common procedure for analysis from two different file types. In the procedure, continuous electrocardiograph recordings of 5-10 min are obtained at rest in infants at 1 month of age by using a Hexoskin Shirt-Junior's (Carre Technologies Inc., Montreal, QC, Canada). Electrocardiograph (ECG; .wav) and R-R interval (RRi; .csv) files are extracted. The RRi of the ECG signal is generated by VivoSense (Great Lakes NeuroTechnologies, Independence, OH). Two MATLAB (The MathWorks, Inc., Natick, MA) scripts converted files for analysis with Kubios HRV Premium (Kubios Oy, Kuopio, Finland). A comparison was made between RRi and ECG files for HR and HRV parameters, and then tested with t tests and correlations via SPSS. There are significant differences in root mean squared successive differences between recording types, with only HR and low-frequency measures significantly correlated together. Recording with Hexoskin and analysis with MATLAB and Kubios enable infant HRV analysis. Differences in outcomes exist between procedures, and standard methodology for infant HR analysis is needed.

Indexed as

Autonomic Nervous SystemElectrocardiographyData CollectionHeart RateHumansInfantReproducibility of ResultsBiocomECGheart rate variabilityHexoskinKubiosMATLABPPGR-R interval

Identifiers

PMID37078641
PMCPMC11226182
OpenAlexW4366462970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.