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...

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Bibliographic Details

Published in:	2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) pp. 138 - 141
Main Authors:	Chen, Yang, Xue, Song, Li, Dezhi, Geng, Xiaozhong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2021
Subjects:	Approximation algorithms blind source separation brain-computer interface Classification algorithms ElectroEncephaloGrapgy Electroencephalography Hardware Independent component analysis Interference Source separation
Online Access:	Get full text
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