Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals

Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals

Epilepsy is a health problem that seriously affects the quality of humans for many years. Therefore, it is important to accurately analyze and recognize epilepsy based on EEG signals, and for a long time, researchers have attempted to extract new features from the signals for epilepsy recognition. H...

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Bibliographic Details
Main Authors: Tingxi Wen, Zhongnan Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
EEG
unsupervised learning
feature extraction
CNN
epileptic seizure
Online Access:https://ieeexplore.ieee.org/document/8355473/

Internet

https://ieeexplore.ieee.org/document/8355473/

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