Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm

Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm

Artifacts such as eye blinks and heart rhythm (ECG) cause the main interfering signals within electroencephalogram (EEG) measurements. Therefore, we propose a method for artifact removal based on exploitation of certain carefully chosen statistical features of independent components extracted from t...

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Bibliographic Details
Main Authors: Leor Shoker, Saeid Sanei, Jonathon Chambers
Format: Default Article
Published: 2005
Subjects:
Mechanical engineering not elsewhere classified
Artifact removal
Blind source separation bss
Electroencephalogram eeg
Electrooculogram
Support vector machines svms
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5650
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https://hdl.handle.net/2134/5650

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