EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods

EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods

Background. The most common and successful technique for signal denoising with nonstationary signals, such as electroencephalogram (EEG) and electrocardiogram (ECG) is the wavelet transform (WT). The success of WT depends on the optimal configuration of its control parameters which are often experim...

Full description

Bibliographic Details
Main Authors: Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Sharif Naser Makhadmeh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
EEG
signal denoising
wavelet transform
metaheuristic algorithms
optimization
flower pollination algorithm
Online Access:https://ieeexplore.ieee.org/document/8944069/

Internet

https://ieeexplore.ieee.org/document/8944069/

Similar Items