The Application of Independent Component Analysis in Removing the Noise of EEG Signal

In the process of collecting and processing ElectroEncephaloGrapgy signals, it is often interfered by various noises and artifacts such as Electrooculography and electrocardiogram. In order to remove these interferences, this paper applies Independent Component Analysis technology to the problem of...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) S. 138 - 141
Hauptverfasser:	Chen, Yang, Xue, Song, Li, Dezhi, Geng, Xiaozhong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2021
Schlagworte:	Approximation algorithms blind source separation brain-computer interface Classification algorithms ElectroEncephaloGrapgy Electroencephalography Hardware Independent component analysis Interference Source separation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!