Development of an EEG signal analysis application through a convolution of a complex Morlet wavelet: preliminary results

Authors

  • José Humberto Trueba Perdomo Electronics Department, Mexico National Institute of Technology/Orizaba Institute of Technology. Oriente 9, 94320 Orizaba, Mexico
  • Ignacio Herrera Aguilar Electronics Department, Mexico National Institute of Technology/Orizaba Institute of Technology. Oriente 9, 94320 Orizaba, Mexico
  • Francesca Gasparini Department of Informatics, Systems, and Communication, University of Milano Bicocca. Viale Sarca 336, 20126 Milano, Italy.

DOI:

https://doi.org/10.32870/recibe.v8i2.120

Keywords:

Application, Wavelet, Electroencephalogram, Signal, Analysis

Abstract

This paper presents a new application for analyzing electroencephalogram (EEG) signals. The signals are pre-filtered through MATLAB's EEGLAB tool. The created application performs a convolution between the original EEG signal and a complex Morlet wavelet. As a final result, the application shows the signal power value and a spectrogram of the convoluted signal. Moreover, the created application compares different EEG channels at the same time, in a fast and straightforward way, through a time and frequency analysis. Finally, the effectiveness of the created application was demonstrated by performing an analysis of the alpha signals of healthy subjects, one signal created by the subject with eyes closed and the other, with which it was compared, was created by the same subject with eyes open. This also served to demonstrate that the power of the alpha band of the closed-eyed signal is higher than the power of the open-eyed signal.

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Published

2020-01-13

How to Cite

Trueba Perdomo, J. H., Herrera Aguilar, I., & Gasparini, F. (2020). Development of an EEG signal analysis application through a convolution of a complex Morlet wavelet: preliminary results. ReCIBE, Electronic Journal of Computing, Informatics, Biomedical and Electronics, 8(2), B–1. https://doi.org/10.32870/recibe.v8i2.120

Issue

Section

Biomedical Engineering