Evidence map›Paper›PMID 24290914›Full record

Trial reportComputers in biology and medicine2013

Mitigating the effect of non-stationarity in spectral analysis-an application to neonate heart rate analysis.

Rathinaswamy B Govindan, An N Massaro, Nickie Niforatos, Adré du Plessis

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Computers in biology and medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Prediction of outcome of hypoxic-ischemic encephalopathy in newborns undergoing therapeutic hypothermia using heart rate variability.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Article
  4. Article
  5. Article
  6. Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Article
  7. Cerebral cortical autonomic connectivity in low-risk term newborns.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2021
    Article
  8. Heart rate variability is depressed in the early transitional period for newborns with complex congenital heart disease.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Inflammatory cytokine response and reduced heart rate variability in newborns with hypoxic-ischemic encephalopathy.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Observational
  14. Cerebral modulation of the autonomic nervous system in term infants.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Article
  15. Effect of Temperature on Heart Rate Variability in Neonatal ICU Patients With Hypoxic-Ischemic Encephalopathy.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017
    Observational
  16. Article
  17. Heart rate variability in encephalopathic newborns during and after therapeutic hypothermia.Journal of perinatology : official journal of the California Perinatal Association · 2014
    Article
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

Rathinaswamy B GovindanDivision of Fetal and Transitional Medicine, Children's National Medical Center, 111 Michigan Ave, NW, Washington, DC 20010, United States. Electronic address: rgovinda@childrensnational.org.
An N Massaro
Nickie Niforatos
Adré du Plessis
Children's National · US

Funding

Quantitation of Insult and Injury to the Preterm BrainK24NS057568 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI DU PLESSIS, ADRE JACQUES · 2007 to 2011
$641k
NINDS NIH HHS K24 NS057568
6 · The paper itself

Abstract

In order to mitigate the effect of non-stationarity in frequency domain analysis of data, we propose a modification to the power spectral estimation, a widely used technique to characterize physiological signals. Spectral analysis requires partitioning data into smaller epochs determined by the desired frequency resolution. The modified approach proposed here involves dividing the data within each epoch by the standard deviation of the data for that epoch. We applied this modified approach to cardiac beat-to-beat interval data recorded from a newborn infant undergoing hypothermia treatment for birth asphyxia. The critically ill infant had episodes of tachyarrhythmia, distributed sporadically throughout the study, which affected the stationarity of the heart rate. Over the period of continuous heart rate recording, the infant's clinical course deteriorated progressively culminating in death. Coinciding with this clinical deterioration, the heart rate signal showed striking changes in both low-frequency and high-frequency power indicating significant impairment of the autonomic nervous system. The standard spectral approach failed to capture these phenomena because of the non-stationarity of the signal. Conversely, the modified approach proposed here captured the deteriorating physiology of the infant clearly.

Indexed as

ElectrocardiographyHeart RateAsphyxia NeonatorumFemaleHumansHypothermia, InducedInfant, NewbornMaleMeconium Aspiration SyndromeTachycardiaAutonomic nervous systemBirth asphyxiaNeonatal heart rateNon-stationarityPower spectral analysis

Identifiers

PMID24290914
PMCPMC4671498
OpenAlexW2100126090

What OpenQuestion holds

Textmetadata
LicenceTDM
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.