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SHORT COMMUNICATION
Year : 2021  |  Volume : 11  |  Issue : 3  |  Page : 222-226

Signal processing of heart rate for predicting sepsis in premature neonates


1 Children's Medical Center, Tehran University of Medical Science, Tehran, Iran
2 Department of Pediatrics, Pediatric Health Research Center, Tabriz University of Medical Science, Tabriz, Iran
3 Department of Pediatrics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 Department of Pediatrics, Mofid Children Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran
5 Department of Mechanical Engineering School, Iran University of Science and Technology, Tehran, Iran
6 Department of Neonatology, Akbar Abadi Hospital, Iran University of Medical Sciences, Tehran, Iran
7 Department of Mechanical Engineering, Mechanical Engineering School, Iran University of Science and Technology, Tehran University of Medical Science, Tehran, Iran

Correspondence Address:
Amid Maghsoudi
Children's Medical Center, 62 Qarib Street, Keshavarz Blvd., Tehran 14194
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmss.JMSS_30_20

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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.


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