Electroencephalogram Signal Eye Blink Rejection Improvement Based on the Hybrid Stone Blind Origin Separation and Particle Swarm Optimization Technique

Electroencephalogram Signal Eye Blink Rejection Improvement Based on the Hybrid Stone Blind Origin Separation and Particle Swarm Optimization Technique

Electroencephalogram (EEG) extraction has widely used Stone's Blind Source Separation (Stone's BSS) algorithm. However, Stone's BSS algorithm is sensitive to the initial half-life (hlong, hshort) and weight vector W parameters, which affect the convergence of the algorithm. This paper...

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Bibliographic Details
Main Authors: Mohammed Ali Ahmed, Qi Deyu, Ebtesam N. Alshemmary
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electroencephalogram (EEG)
eye blinking
particle swarm optimization
signal analysis
stone’s BSS technique
Online Access:https://ieeexplore.ieee.org/document/9107135/

Internet

https://ieeexplore.ieee.org/document/9107135/

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