Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter

Electrooculogram (EOG) artifacts are the most important form of interferences in electroencephalogram (EEG) based brain computer interfaces (BCIs). In traditional methods for EOG artifacts removal, either an additional EOG recording in real time or multi-channel (more than three channels) EEG record...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 214; S. 1053 - 1060
Hauptverfasser:	Yang, Banghua, Duan, Kaiwen, Zhang, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 19.11.2016
Schlagworte:	Brain computer interfaces (BCIs) Electroencephalogram (EEG) Electrooculogram (EOG) Recursive least squares (RLS) adaptive filtering Sparse autoencoder (SAE) Electrooculogram (EOG) Recursive least squares (RLS) adaptive filtering Brain computer interfaces (BCIs) Electroencephalogram (EEG) Sparse autoencoder (SAE)
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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