Continuous monitoring of neonatal cortical activity : a major step forward

Baud, Olivier; Arzounian, Dorothée; Bourel-Ponchel, Emilie

doi:10.1016/j.xcrm.2022.100864

Scientific article

Comment

English

Continuous monitoring of neonatal cortical activity : a major step forward

ContributorsBaud, Olivier

; Arzounian, Dorothée; Bourel-Ponchel, Emilie

Published inCell reports medicine, vol. 3, no. 12, 100864

Publication date2022-12-20

Abstract

Montazeri Moghadam et al. report an automated algorithm to visually convert EEG recordings to real-time quantified interpretations of EEG in neonates. The resulting measure of the brain state of the newborn (BSN) bridges several gaps in neurocritical care monitoring.

Keywords

Infant, Newborn
Humans
Electroencephalography / methods
Brain
Algorithms

NoteComment on : Moghadam SM et al. An automated bedside measure for monitoring neonatal cortical activity : a supervised deep learning-based electroencephalogram classifier with external cohort validation. Lancet Digit Health. 2022 Dec;4(12):e884-e892. doi: 10.1016/S2589-7500(22)00196-0. PMID: 36427950.

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de pédiatrie, gynécologie et obstétrique

Research groups

Prévention des complications néonatales d'origine périnatale (990)

Citation (ISO format)

BAUD, Olivier, ARZOUNIAN, Dorothée, BOUREL-PONCHEL, Emilie. Continuous monitoring of neonatal cortical activity : a major step forward. In: Cell reports medicine, 2022, vol. 3, n° 12, p. 100864. doi: 10.1016/j.xcrm.2022.100864