Evidence map›Paper›PMID 41593102›Full record

ArticleScientific reports2026

Identifying heart rate characteristics of sleep states of preterm infants using video analysis.

R B Govindan, Venkata Chaitanya Chirumamilla, Sarah B Mulkey, Robin Baker, Adre du Plessis

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

3 citing papers in PubMed.

  1. The developing relationship between circadian rhythm and heart rate variability in premature infants.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2026
    Article
  2. Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

R B GovindanThe Zickler Family Prenatal Pediatrics, Institute, Prenatal and Transitional Pediatrics, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Venkata Chaitanya ChirumamillaThe Zickler Family Prenatal Pediatrics, Institute, Prenatal and Transitional Pediatrics, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Sarah B MulkeyThe Zickler Family Prenatal Pediatrics, Institute, Prenatal and Transitional Pediatrics, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Robin BakerFairfax Neonatal Associates, Fairfax, VA, USA.
Adre du PlessisThe Zickler Family Prenatal Pediatrics, Institute, Prenatal and Transitional Pediatrics, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA. adupless@childrensnational.org.

Funding

Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
Clinical and Translational Science Institute at Childrens National-Mentored Career Development CoreKL2TR001877 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI LUBAN, NAOMI L · 2016 to 2020
$2.0M
NCATS NIH HHS KL2 TR001877NCATS NIH HHS UL1 TR001876NIH HHS UL1TR001876 and KL2TR001877
6 · The paper itself

Abstract

Objective is to identify changes in heart rate (HR) corresponding to different behavioral state of preterm infants determined through video analysis. Video electroencephalogram (EEG) and electrocardiogram (ECG) data were collected from infants. Videos were reviewed visually for active sleep (AS), and quiet sleep (QS) states. HR was calculated from the ECG, and its variability (range) was analyzed using a 30-s window with a 2-s sliding interval. HR ranges were compared between AS and QS using a receiver operator characteristic (ROC) analysis. To investigate the cortical correlates of these states, EEG data were analyzed for spectral power in the delta frequency band (0.5 - 4 Hz). The dependence of EEG metrics on sleep state was examined using linear mixed-effects models, with sex and postmenstrual age (PMA) at study included as covariates. This study included 68 infants born between 23 and 36 weeks of gestational age. EEG recordings were obtained between 34.857-and 40.714-weeks PMA. On average, infants spent 38% of the time in QS and 62% in AS. ROC analysis distinguished heart rate ranges between AS (median: 27.597 [minimum: 12.385, maximum: 106.705] beats per minute [bpm]) and QS (13.943 [5.261, 36.284] bpm), with an area under the curve of 0.88 at a threshold of 18 bpm. The reliability of the results was assessed by dividing the cohort into two groups and repeating the same analysis, which produced findings consistent with those obtained from the original cohort. Delta power was significantly higher during QS compared to AS (P < 0.05), independent of PMA at the time of study and sex. Heart rate range demonstrates distinct variability patterns between QS and AS. Validation of these findings in younger preterm infants is currently underway.

Indexed as

Heart RateInfant, PrematureSleepElectrocardiographyElectroencephalographyFemaleGestational AgeHumansInfant, NewbornMaleROC CurveVideo RecordingElectroencephalographyHeart ratePreterm infantsSleep states

Identifiers

PMID41593102
PMCPMC12852108

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.