Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis

As a diagnostic monitoring approach, electroencephalogram (EEG) signals can be decoded by signal processing methodologies for various health monitoring purposes. However, EEG recordings are contaminated by other interferences, particularly facial and ocular artifacts generated by the user. This is s...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Mojtaba Taherisadr, Omid Dehzangi, Hossein Parsaei
Format:	Article
Language:	English
Published:	MDPI AG 2017-12-01
Subjects:	electroencephalography (EEG) artifact identification curvelet transforms time–frequency representation multi-resolution analysis
Online Access:	https://www.mdpi.com/1424-8220/17/12/2895

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