A Dynamic Filtering DF-RNN Deep-Learning-Based Approach for EEG-Based Neurological Disorders Diagnosis

A Dynamic Filtering DF-RNN Deep-Learning-Based Approach for EEG-Based Neurological Disorders Diagnosis

Filtering of unwanted signals has a great impact on the performance of EEG signal processing applied to neurological disorders diagnosis. It is so difficult to remove undesirable noises using static filtering approaches as the performance of such techniques is strongly relying on specific EEG signal...

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Bibliographic Details
Main Authors: Ghaith Bouallegue, Ridha Djemal, Saleh A. Alshebeili, Hesham Aldhalaan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electroencephalography (EEG)
deep learning
recurrent neural networks (RNN)
convolutional neural network (CNN)
dynamic filtering
Online Access:https://ieeexplore.ieee.org/document/9258906/

Internet

https://ieeexplore.ieee.org/document/9258906/

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