Caracterización de Potenciales EEG Olfativos en Personas Saludables

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Date
2020-11-24
Publisher
Universidad Antonio Nariño
Document type
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http://purl.org/coar/resource_type/c_7a1f
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Abstract
The EEG signals are currently a challenge because associations have been found with olfactory alterations that can be an indicator of neurodegenerative diseases, current analyses are performed on qualitative olfactory patterns and there are no measures that ensure that there is a direct relationship between smell and alterations in medical terms. Biomedical engineering sees the need to bring these patterns to quantitative analysis, which is why the use of EEG signal analysis becomes a way to approach this complex problem. One of the strategies that have been used until now is based on the clinical diagnosis and trying to identify these alterations before some kind of problem occurs and that serves as a non-invasive indicator of a neurodegenerative disorder, it is important to use EEG signals as a support in the clinical diagnosis providing more precision in quantitative terms. The present research proposes the use of the theta wave obtained from the electroencephalographic signal of healthy people as an alternative to approach in a quantitative and qualitative way observing the changes in the brain activity from the analysis in time, frequency with the FFT, and PSD applying repeated inter- and intra-subject measures, to identify changes in the signal energy. This work is carried out from a database of 10 subjects collected in Brazil, in which the Sniffin Sticks test was applied, from which mint and lemon smells were taken and analyzed in the F3 and F4 electrode in the frontotemporal region. The most significant results that were obtained, in relation to the filters applied, the way in which the theta wave manifests itself in the frequency domain, the manifestation of PSD differentiating rest vs. odor and the significant differences that exist depending on the existence or not of rest and odor, were identified 7 categories in which patterns can be characterized in relation to the behavior of rest vs. odor for channels F3 and F4.
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