ADJUST: An automatic EEG artifact detector based …

← Back to document page

ADJUST: an automatic eeg artifact detector based onthe joint use of spatial and temporal featuresANDREA MOGNON,a,bJORGE JOVICICH,aLORENZO BRUZZONE,candMARCO BUIATTIa,d,e,faFunctional NeuroImaging Laboratory, Center for Mind/Brain Sciences, Department of Cognitive and Education Sciences,University of Trento, Trento, ItalybNILab, Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento, ItalycDepartment of Information Engineering and Computer Science, University of Trento, Trento, ItalydINSERM, U992, Cognitive Neuroimaging Unit, Gif/Yvette, FranceeCEA, DSV/I2BM, NeuroSpin Center, Gif/Yvette, FrancefUniversite Paris-Sud, Cognitive Neuroimaging Unit, Gif/Yvette, FranceAbstractA successful method for removing artifacts from electroencephalogram (EEG) recordings is Independent ComponentAnalysis (ICA), but its implementation remains largely user-dependent.

ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features ANDREA MOGNON,a,b JORGE JOVICICH,a LORENZO BRUZZONE,c and MARCO BUIATTIa,d,e,f aFunctional NeuroImaging Laboratory, Center for Mind/Brain Sciences, Department of Cognitive and Education Sciences, University of Trento, …

  Based, Automatic, Detectors, Artifacts, An automatic eeg artifact detector based