Automated assessment of EEG background for neurodevelopmental prediction in neonatal encephalopathy

Automated assessment of EEG background for neurodevelopmental prediction in neonatal encephalopathy

Abstract Objective Assess the capacity of brain state of the newborn (BSN) to predict neurodevelopment outcomes in neonatal encephalopathy. Methods Trends of BSN, a deep learning‐based measure translating EEG background to a continuous trend, were studied from a three‐channel montage long‐term EEG m...

Full description

Saved in:
Bibliographic Details
Main Authors: Micheline Lagacé, Saeed Montazeri, Daphne Kamino, Eva Mamak, Linh G. Ly, Cecil D. Hahn, Vann Chau, Sampsa Vanhatalo, Emily W. Y. Tam
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Annals of Clinical and Translational Neurology
Online Access:https://doi.org/10.1002/acn3.52233
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items