ArticlePloS one2019
Improving methodology in heart rate variability analysis for the premature infants: Impact of the time length.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- A systematic survey of advances in retinal imaging modalities for Alzheimer's disease diagnosis.Metabolic brain disease · 2022Pooled it
- Heart rate variability as possible marker of brain damage in neonates with hypoxic ischemic encephalopathy: a systematic review.European journal of pediatrics · 2021Pooled it
- Reduced heart rate variability predicts severe intraventricular haemorrhage in extremely preterm infants.Pediatric research · 2026Article
- Autonomic nervous system maturation in preterm neonates: Correlation with gestational and postmenstrual age (ProMote).PloS one · 2026Article
- Association of Heart Rate Variability with Postnatal Maturation in Preterm Infants.Neonatology · 2025Article
- Article
- Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.BMC infectious diseases · 2024Observational
- Feasibility of Spectral Analysis as a Tool in Nursing Research to Quantify Patterns of Respiration in Premature Infants.International journal of pediatrics · 2024Article
- Cardiorespiratory alterations in a newborn ovine model of systemic viral inflammation.Pediatric research · 2022Article
- Validity of Ultra-Short-Term HRV Analysis Using PPG-A Preliminary Study.Sensors (Basel, Switzerland) · 2022Article
- Article
- Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- Similarities between maternal and fetal RR interval tachograms and their association with fetal development.Frontiers in physiology · 2022Article
- Reduction of Cardiac Autonomic Modulation and Increased Sympathetic Activity by Heart Rate Variability in Patients With Long COVID.Frontiers in cardiovascular medicine · 2022Article
- Neonatal heart rate variability: a contemporary scoping review of analysis methods and clinical applications.BMJ open · 2021Article
- Effects of ECG Data Length on Heart Rate Variability among Young Healthy Adults.Sensors (Basel, Switzerland) · 2021Article
- Cardiorespiratory Alterations in a Newborn Ovine Model of Systemic Inflammation Induced by Lipopolysaccharide Injection.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart rate variability (HRV) has been emerging in neonatal medicine. It may help for the early diagnosis of pathology and estimation of autonomous maturation. There is a lack of standardization and automation in the selection of the sequences to analyze and some features have not been explored in this specific population. The main objective of this study was to analyze the impact of the time length of the sequences on the estimation of linear and non-linear HRV features, including horizontal visibility graphs (HVG).
methodsHRV features were repeatedly measured with linear and non-linear methods on 2-, 5-, 10-minute sequences selected from the longest 15-min sequence and recorded on a weekly basis in 39 infants less than 31 weeks at birth. The associations between HRV measurements were analyzed through principal component analysis and k-means clustering. The effects of the time lengths on HRV measurements and post-menstrual age (PMA) were analyzed by linear mixed effect model for repeated measures.
resultsThe domains of analysis were concordant for their descriptive parameters of short (rMSSD, SD1 and HF) and long-term (SD, SD2 and LF) variability. α1 was correlated with the LF/HF and SD2/SD1. DC and AC were correlated with short-term variability estimates and significantly increased with GA and PMA. Shortening the windows of analysis increased the random measurement error for all the features and increased the bias for all but short term features and HVGs.
conclusionThe linear and non-linear measurements of HRV are correlated each other. Shortening the windows of analysis increased the random error for all the features and increased the bias for all but short term features and HVGs. Short-term HRV can be an index for evaluating the maturation in whatever sequence length.
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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 Socratic graph.