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Effective Hybrid Method for the Detection and Rejection of Electrooculogram (EOG) and Power Line Noise Artefacts From Electroencephalogram (EEG) Mixtures

Electrooculogram (EOG) and power line noise artefact detection and rejection have commonly utilized Stone's blind source separation (Stone's BSS) algorithm. The paper suggests a hybrid method between particle swarm optimization (PSO) and Stone's BSS for the detection and rejection of electrooculogra...

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Principais autores: Mohammed Ali Ahmed, Deyu Qi, Ebtesam N. Alshemmary
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2020-01-01
Serier:IEEE Access
Fag:
Electroencephalogram (EEG)
electrooculogram (EOG)
particle swarm optimization
signal analysis
Stone’s BSS technique
Online adgang:https://ieeexplore.ieee.org/document/9249241/
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