Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes

Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes

There is a lack of reliable prognostic biomarkers for hypoxic‐ischemic (HI) brain injury in preterm infants. Herein, spectrally detailed wavelet scalograms (WSs), derived from the 1024 Hz sampled electroencephalograms (EEG) of preterm fetal sheep after HI (n = 7), are infused into a high‐performance...

Full description

Bibliographic Details
Main Authors: Hamid Abbasi, Alistair J. Gunn, Charles P. Unsworth, Laura Bennet
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:Advanced Intelligent Systems
Subjects:
accurate pattern recognition
convolutional neural networks
deep learning
electroencephalogram biomarkers
high-frequency gamma spikes
hypoxic–ischemic encephalopathy
Online Access:https://doi.org/10.1002/aisy.202000198

Internet

https://doi.org/10.1002/aisy.202000198

Similar Items