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EMDLAB: A toolbox for analysis of single-trial {EEG} dynamics using empirical mode decomposition

Al-Subari, Karema, Al-Baddai, Saad, Tomé, A. M., Goldhacker, Markus, Faltermeier, Rupert and Lang, Elmar (2015) EMDLAB: A toolbox for analysis of single-trial {EEG} dynamics using empirical mode decomposition. Journal of Neuroscience Methods 253, 193 - 205.

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Abstract

Background Empirical mode decomposition (EMD) is an empirical data decomposition technique. Recently there is growing interest in applying EMD in the biomedical field. New method EMDLAB is an extensible plug-in for the EEGLAB toolbox, which is an open software environment for electrophysiological data analysis. Results EMDLAB can be used to perform, easily and effectively, four common types of ...

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Item type:Article
Date:2015
Institutions:Medicine > Lehrstuhl für Neurochirurgie
Psychology and Pedagogy > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.jneumeth.2015.06.020DOI
Keywords:Intrinsic mode functions
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:34672
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