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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Bibliografische Detailangaben

Hauptverfasser:	Xiaozhong Geng, Dezhi Li, Hanlin Chen, Ping Yu, Hui Yan, Mengzhe Yue
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2022-06-01
Schriftenreihe:	Alexandria Engineering Journal
Schlagworte:	Electroencephalogram Independent component analysis Common spatial pattern Wavelet packet threshold Feature extraction
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110016821007055
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