Development of an EEG signal analysis application through a convolution of a complex Morlet wavelet: preliminary results
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 s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Guadalajara
2019-10-01
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| Series: | ReCIBE |
| Subjects: | |
| Online Access: | http://recibe.cucei.udg.mx/revista/es/vol8-no2/biomedica01.pdf |
| Summary: | 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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| ISSN: | 2007-5448 2007-5448 |