Cargando…

Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates

The heart rate characteristic (HeRO score) is a figure derived from the analysis of premature neonate's electrocardiogram signals, and can be used to detect infection before the onset of clinical symptoms. The United States and Europe accept this diagnostic technique, but we require more tests...

Descripción completa

Detalles Bibliográficos
Autores principales: Mirnia, Kayvan, Heidarzadeh, Mohammad, Afjeh, Seyyed Abolfazl, Alizadeh, Parinaz, Kashan, Abbas Abaei, Bordbar, Arash, Maghsoudi, Amid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382031/
https://www.ncbi.nlm.nih.gov/pubmed/34466402
http://dx.doi.org/10.4103/jmss.JMSS_30_20
_version_ 1783741473690222592
author Mirnia, Kayvan
Heidarzadeh, Mohammad
Afjeh, Seyyed Abolfazl
Alizadeh, Parinaz
Kashan, Abbas Abaei
Bordbar, Arash
Maghsoudi, Amid
author_facet Mirnia, Kayvan
Heidarzadeh, Mohammad
Afjeh, Seyyed Abolfazl
Alizadeh, Parinaz
Kashan, Abbas Abaei
Bordbar, Arash
Maghsoudi, Amid
author_sort Mirnia, Kayvan
collection PubMed
description The heart rate characteristic (HeRO score) is a figure derived from the analysis of premature neonate's electrocardiogram signals, and can be used to detect infection before the onset of clinical symptoms. The United States and Europe accept this diagnostic technique, but we require more tests to prove its efficacy. This method is not accepted in other developed countries so far. The present study aimed to investigate changes in the heart characteristics of two neonates in Akbar Abadi Hospital in Tehran. Experts chose one newborn as a sepsis case, and the other neonate was healthy. The results were analyzed and compared with previous studies. In this research, a group of five neonates was selected randomly from the neonatal intensive care unit, and cardiac leads were attached to them for recording heart rates. We selected two neonates from the five cases, as a case (proven sepsis) and control, to analyze heart rate variability (HRV). Then, we compared the differences in the heart rate of both neonates. Analysis of HRV of these two neonates showed that the pattern of HRV is compatible with reports from US studies. Considering the results of this study, heart rates and their analysis can provide useful indicators for mathematical modeling before the onset of clinical symptoms in newborns.
format Online
Article
Text
id pubmed-8382031
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-83820312021-08-30 Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates Mirnia, Kayvan Heidarzadeh, Mohammad Afjeh, Seyyed Abolfazl Alizadeh, Parinaz Kashan, Abbas Abaei Bordbar, Arash Maghsoudi, Amid J Med Signals Sens Short Communication The heart rate characteristic (HeRO score) is a figure derived from the analysis of premature neonate's electrocardiogram signals, and can be used to detect infection before the onset of clinical symptoms. The United States and Europe accept this diagnostic technique, but we require more tests to prove its efficacy. This method is not accepted in other developed countries so far. The present study aimed to investigate changes in the heart characteristics of two neonates in Akbar Abadi Hospital in Tehran. Experts chose one newborn as a sepsis case, and the other neonate was healthy. The results were analyzed and compared with previous studies. In this research, a group of five neonates was selected randomly from the neonatal intensive care unit, and cardiac leads were attached to them for recording heart rates. We selected two neonates from the five cases, as a case (proven sepsis) and control, to analyze heart rate variability (HRV). Then, we compared the differences in the heart rate of both neonates. Analysis of HRV of these two neonates showed that the pattern of HRV is compatible with reports from US studies. Considering the results of this study, heart rates and their analysis can provide useful indicators for mathematical modeling before the onset of clinical symptoms in newborns. Wolters Kluwer - Medknow 2021-07-21 /pmc/articles/PMC8382031/ /pubmed/34466402 http://dx.doi.org/10.4103/jmss.JMSS_30_20 Text en Copyright: © 2021 Journal of Medical Signals & Sensors https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Short Communication
Mirnia, Kayvan
Heidarzadeh, Mohammad
Afjeh, Seyyed Abolfazl
Alizadeh, Parinaz
Kashan, Abbas Abaei
Bordbar, Arash
Maghsoudi, Amid
Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title_full Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title_fullStr Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title_full_unstemmed Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title_short Signal Processing of Heart Rate for Predicting Sepsis in Premature Neonates
title_sort signal processing of heart rate for predicting sepsis in premature neonates
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382031/
https://www.ncbi.nlm.nih.gov/pubmed/34466402
http://dx.doi.org/10.4103/jmss.JMSS_30_20
work_keys_str_mv AT mirniakayvan signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT heidarzadehmohammad signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT afjehseyyedabolfazl signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT alizadehparinaz signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT kashanabbasabaei signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT bordbararash signalprocessingofheartrateforpredictingsepsisinprematureneonates
AT maghsoudiamid signalprocessingofheartrateforpredictingsepsisinprematureneonates