Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications

Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications

Data contamination due to physiological artifacts such as those generated by eyeblinks, eye movements, and muscle activity continues to be a central concern in the acquisition and analysis of electroencephalographic (EEG) data. This issue is further compounded in EEG sports science applications wher...

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Bibliographic Details
Main Authors: David B. Stone, Gabriella Tamburro, Patrique Fiedler, Jens Haueisen, Silvia Comani
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Human Neuroscience
Subjects:
EEG
artifact removal
ICA
support vector machine
eyeblink artifact
eye movement artifact
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2018.00096/full

Internet

http://journal.frontiersin.org/article/10.3389/fnhum.2018.00096/full

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