Deep Learning for Generalized EEG Seizure Detection after Hypoxia–Ischemia—Preclinical Validation

Deep Learning for Generalized EEG Seizure Detection after Hypoxia–Ischemia—Preclinical Validation

Brain maturity and many clinical treatments such as therapeutic hypothermia (TH) can significantly influence the morphology of neonatal EEG seizures after hypoxia–ischemia (HI), and so there is a need for generalized automatic seizure identification. This study validates efficacy of advanced deep-le...

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Bibliographic Details
Main Authors: Hamid Abbasi, Joanne O. Davidson, Simerdeep K. Dhillon, Kelly Q. Zhou, Guido Wassink, Alistair J. Gunn, Laura Bennet
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Bioengineering
Subjects:
seizure detection
deep learning
neonatal hypoxic–ischemic encephalopathy
hypothermia
full-term and preterm fetal sheep
EEG
Online Access:https://www.mdpi.com/2306-5354/11/3/217

Internet

https://www.mdpi.com/2306-5354/11/3/217

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