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

K Al-Subari; S Al-Baddai; A M Tomé; M Goldhacker; R Faltermeier; E W Lang

doi:10.1016/j.jneumeth.2015.06.020

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

J Neurosci Methods. 2015 Sep 30:253:193-205. doi: 10.1016/j.jneumeth.2015.06.020. Epub 2015 Jul 8.

Authors

K Al-Subari¹, S Al-Baddai², A M Tomé³, M Goldhacker⁴, R Faltermeier⁵, E W Lang⁶

Affiliations

¹ CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany; Institute of Information Science, University of Regensburg, Germany.
² CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany; Institute of Information Science, University of Regensburg, Germany. Electronic address: saad.al-baddai@ur.de.
³ IEETA, DETI, Universidade de Aveiro, 3810-193 Aveiro, Portugal.
⁴ CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany; Institute of Experimental Psychology, University of Regensburg, Germany.
⁵ Clinic of Neurosurgery, University Hospital Regensburg, Germany.
⁶ CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany.

PMID: 26162614
DOI: 10.1016/j.jneumeth.2015.06.020

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.

Keywords: EEG; EEGLAB toolbox; EMDLAB; Empirical mode decomposition; Intrinsic mode functions.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Brain / physiology*
Electroencephalography
Electromyography
Humans
Nonlinear Dynamics
Signal Processing, Computer-Assisted*
Software*