An improved feature extraction algorithms of EEG signals based on motor imagery brain-computer interface

The electroencephalogram (EEG) signals based on the Brian-computer Interface (BCI) equipment is weak, non-linear, non-stationary and time-varying, so an effective feature extraction method is the key to improving the recognition accuracy. Electrooculogram and electrocardiogram artifacts are common n...

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Detalles Bibliográficos
Main Authors: Xiaozhong Geng, Dezhi Li, Hanlin Chen, Ping Yu, Hui Yan, Mengzhe Yue
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2022-06-01
Series:Alexandria Engineering Journal
Assuntos:
Electroencephalogram
Independent component analysis
Common spatial pattern
Wavelet packet threshold
Feature extraction
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S1110016821007055
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