Unsupervised Event Characterization and Detection in Multichannel Signals: An EEG application

Unsupervised Event Characterization and Detection in Multichannel Signals: An EEG application

In this paper, we propose a new unsupervised method to automatically characterize and detect events in multichannel signals. This method is used to identify artifacts in electroencephalogram (EEG) recordings of brain activity. The proposed algorithm has been evaluated and compared with a supervised...

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Bibliographic Details
Main Authors: Angel Mur, Raquel Dormido, Jesús Vega, Natividad Duro, Sebastian Dormido-Canto
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sensors
Subjects:
artifacts
EEG
event characterization
event detection
unsupervised classification
Online Access:http://www.mdpi.com/1424-8220/16/4/590

Internet

http://www.mdpi.com/1424-8220/16/4/590

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