SeizureNet: a model for robust detection of epileptic seizures based on convolutional neural network
Author:
Affiliation:
1. Chengyi University CollegeJimei UniversityJimei Ave 199XiamenPeople's Republic of China
2. School of Electronic and Electrical EngineeringShanghai Institute of TechnologyHaiquan Road 100ShanghaiPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Pharmacology (medical)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ccs.2020.0011
Reference26 articles.
1. Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals;Hussein R.;Clin. Neurophysiol.,2019
2. An automated system for epilepsy detection using EEG brain signals based on deep learning approach
3. Seizure detection in EGG signal with novel optimization algorithm for selecting optimal thresholded offset Gaussian feature
4. Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis
5. Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform
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