Amplitude EEG Changes in Preterm Infants at NICU of Al-Zahraa University Hospital

Abstract

Background: With increase in the incidence of preterm birth, quality of life in premature infants who suffer from perinatal brain injury has become a major concern. Amplitude electroencephalogram has the advantages of being simple bedside monitoring for assessment of brain function and follow up in preterm neonates. Aim of Study: To evaluate the aEEG changes in preterm infants and compare it to cranial ultrasound. Patients and Methods: This was a prospective observational study conducted at the NICU of Al Zahraa University Hospital for a period from May 2020 to May 2021. Our study was conducted on 60 preterm infants (26 -36 w) in the first 7 days of life with exclusion of obvious congenital anomalies and hypoxic ischemic encephalopathy patients. Cranial ultrasound was performed on all the studied groups then aEEG recording was done for 4 hours. Results: The pattern of aEEG was discontinuous in patients with low gestational age and in infants small for gestational age. The pattern was also discontinuous in infants who had convulsions. Among our studied infants who had PROM, pre-eclampsia and experienced prolonged delivery, some infants had low voltage amplitude recording as well as infants with intraventricular hemorrhage grade III. Conclusion: This study confirms that aEEG background activity is strongly related to gestational age, birth weight, convulsions and IVH. Complications during delivery alter neonatal brain activity and aEEG background. Early aEEG combined with cranial ultrasound increases the sensitivity for detecting abnormal neurological outcome.

Trends in Amplitude-Integrated Electroencephalography in the Smallest Preterm Neonates

“…These results are not surprising, as maturity differs greatly between 22-27 and 28-31 week GA newborns in other systems as well. A study by Burdjalov et al, who used the same aEEG scoring system [11], as well as Han et al [34] and Reda et al [35], showed similar results. However, all mentioned studies had different subject inclusion criteria and aEEG monitoring periods.…”

Analysis method of voltage quality in distribution station area based on high‐speed power line carrier and GA‐ANN in smart grid

“…In the monitoring of real‐time operation data in the distribution station area, many abnormal data will affect the accuracy of monitoring. In order to reduce the impact on the power grid, it is usually treated as noise [19]. However, in the monitoring of abnormal voltage quality, abnormal data is more meaningful to the monitoring of distribution network stations than other common data.…”