Detection of eye blink artifacts from single prefrontal channel electroencephalogram

Highlights • A novel method to detect eye blink artifacts from a single-channel frontal EEG signal was proposed. • Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. • An online experiment showed that our method is useful for headband-type wearable EEG a...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2016-02, Vol.124, p.19-30
Hauptverfasser:	Chang, Won-Du, Cha, Ho-Seung, Kim, Kiwoong, Im, Chang-Hwan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Artifact detection Blinking - physiology Brain - physiology Channels Diagnosis, Computer-Assisted Digital filters Electroencephalogram (EEG) Electroencephalography Electroencephalography - methods Electrooculogram (EOG) Electrooculograms Eye blink Eyes Female Humans Internal Medicine Male Matlab Other Packages Pattern Recognition, Automated - methods Reference Values Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Young Adult
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Beschreibung
Zusammenfassung:	Highlights • A novel method to detect eye blink artifacts from a single-channel frontal EEG signal was proposed. • Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. • An online experiment showed that our method is useful for headband-type wearable EEG applications. • A MATLAB package of our library and sample data is open for free download.
ISSN:	0169-2607 1872-7565
DOI:	10.1016/j.cmpb.2015.10.011