scholarly journals Early detection of late onset sepsis in premature infants using visibility graph analysis of heart rate variability

2020 ◽  
pp. 1-1
Author(s):  
Cristhyne Leon ◽  
Guy Carrault ◽  
Patrick Pladys ◽  
Alain Beuchee
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Early Detection ◽  
Premature Infants ◽  
Late Onset ◽  
Visibility Graph ◽  
Graph Analysis ◽  
Late Onset Sepsis ◽  
Visibility Graph Analysis

scholarly journals Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality

2020 ◽  
Vol 9 ◽  
pp. 204800402094514
Author(s):  
Amanda M Zimmet ◽  
Brynne A Sullivan ◽  
J Randall Moorman ◽  
Douglas E Lake ◽  
Sarah J Ratcliffe
Keyword(s):  
Heart Rate ◽  
Premature Infants ◽  
Neonatal Intensive Care ◽  
Time Course ◽  
Very Low Birth Weight ◽  
Late Onset ◽  
Low Birth Weight Infants ◽  
Late Onset Sepsis ◽  
Neonatal Icu ◽  
Time Courses

Objective Trajectories of physiomarkers over time can be useful to define phenotypes of disease progression and as predictors of clinical outcomes. The aim of this study was to identify phenotypes of the time course of late-onset sepsis in premature infants in Neonatal Intensive Care Units. Methods We examined the trajectories of a validated continuous physiomarker, abnormal heart rate characteristics, using functional data analysis and clustering techniques. Participants We analyzed continuous heart rate characteristics data from 2989 very low birth weight infants (<1500 grams) from nine NICUs from 2004–2010. Result Despite the relative homogeneity of the patients, we found extreme variability in the physiomarker trajectories. We identified phenotypes that were indicative of seven and 30 day mortality beyond that predicted by individual heart rate characteristics values or baseline demographic information. Conclusion Time courses of a heart rate characteristics physiomarker reveal snapshots of illness patterns, some of which were more deadly than others.

Visibility Graph Analysis of Particle Size Distribution During Flocculation for Water Treatment

2021 ◽  
Vol 232 (3) ◽  
Author(s):  
Kamila Jessie Sammarro Silva ◽  
Larissa Lopes Lima ◽  
Gustavo Santos Nunes ◽  
Lyda Patricia Sabogal-Paz
Keyword(s):  
Particle Size ◽  
Water Treatment ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Visibility Graph ◽  
Graph Analysis ◽  
Visibility Graph Analysis
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