Al-Subari, K. and Al-Baddai, S. and Tome, A. M. and Goldhacker, M. and Faltermeier, R. and Lang, E. W. (2015) EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition. JOURNAL OF NEUROSCIENCE METHODS, 253. pp. 193-205. ISSN 0165-0270, 1872-678X
Full text not available from this repository. (Request a copy)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 EMD: plain EMD, ensemble EMD (EEMD), weighted sliding EMD (wSEMD) and multivariate EMD (MEMD) on EEG data. In addition, EMDLAB is a user-friendly toolbox and closely implemented in the EEGLAB toolbox. Comparison with existing methods: EMDLAB gains an advantage over other open-source toolboxes by exploiting the advantageous visualization capabilities of EEGLAB for extracted intrinsic mode functions (IMFs) and Event-Related Modes (ERMs) of the signal. Conclusions: EMDLAB is a reliable, efficient, and automated solution for extracting and visualizing the extracted IMFs and ERMs by EMD algorithms in EEG study. (C) 2015 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | HILBERT SPECTRUM; TIME-SERIES; SIGNALS; EMDLAB; EEGLAB toolbox; EEG; Empirical mode decomposition; Intrinsic mode functions |
| Subjects: | 000 Computer science, information & general works > 020 Library & information sciences |
| Divisions: | Medicine > Lehrstuhl für Neurochirurgie Psychology and Pedagogy > Institut für Psychologie Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 07 Jun 2019 07:26 |
| Last Modified: | 07 Jun 2019 07:26 |
| URI: | https://pred.uni-regensburg.de/id/eprint/4808 |
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