Identification of Visual Evoked Potentials in EEG detection by emprical mode decomposition

P. Vergallo, A. Lay-Ekuakille, N. I. Giannoccaro, A. Trabacca, D. Labate, F. C. Morabito, S. Urooj, V. Bhateja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual Evoked Potentials (VEPs) are referred to electrical potentials due to brief visual stimuli which can be recorded from scalp overlying visual cortex. A way to measure VEPs is through encephalogram (EEG). VEPs are very important because they can quantify functional integrity of the optic pathway. Their study allows to detect abnormalities that affect the visual pathways or visual cortex in the brain, and so methods that permit to identify VEPs components in EEG signals must be defined. However, the background activity measured from EEG hides VEPs components because they have a low voltage. So it is necessary to define a robust method to extract features, which best describe these potentials of interest. In this work Empirical Mode Decomposition (EMD) method is used to separate the EEG components and to detect VEPs. EMD decomposes a signal into components named Intrinsic Mode Functions (IFM). The results, obtained from the study of EEG records of a normal person, suggest that IMFs may be used to determine VEPs in EEG and to obtain important information related to brain activity by a time and frequency analysis of IMF components. It is well comparable with the known Wavelet Transform method, but it is characterized from a greater simplicity of implementation because the basis used in the analysis is generated by the same analyzed signal.

Original languageEnglish
Title of host publication2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 2014
Event2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014 - Castelldefels-Barcelona, Spain
Duration: Feb 11 2014Feb 14 2014

Other

Other2014 IEEE 11th International Multi-Conference on Systems, Signals and Devices, SSD 2014
CountrySpain
CityCastelldefels-Barcelona
Period2/11/142/14/14

Keywords

  • EEG
  • Empirical Mode Decomposition
  • Evoked Potentials

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering

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