Caracterización de Potenciales EEG Olfativos en Personas Saludables

Propia

Autores:
Losada Cerquera, Daniela
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2020
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/3151
Acceso en línea:
http://repositorio.uan.edu.co/handle/123456789/3151
Palabra clave:
Transformada de Fourier
Potenciales EEG olfativos
PSD olfativo onda Theta
ANOVA de medidas repetidas
Test Sniffin Sticks
Caracterización Onda Theta.
Fourier transform
Olfactory EEG potentials
Theta wave olfactory PSD
Repeated measures ANOVA
Sniffin Sticks Test
Theta Wave Characterization.
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
id UAntonioN2_54367fdd7ddfaebf53f2e2e054e1ef74
oai_identifier_str oai:repositorio.uan.edu.co:123456789/3151
network_acronym_str UAntonioN2
network_name_str Repositorio UAN
repository_id_str
dc.title.es_ES.fl_str_mv Caracterización de Potenciales EEG Olfativos en Personas Saludables
title Caracterización de Potenciales EEG Olfativos en Personas Saludables
spellingShingle Caracterización de Potenciales EEG Olfativos en Personas Saludables
Transformada de Fourier
Potenciales EEG olfativos
PSD olfativo onda Theta
ANOVA de medidas repetidas
Test Sniffin Sticks
Caracterización Onda Theta.
Fourier transform
Olfactory EEG potentials
Theta wave olfactory PSD
Repeated measures ANOVA
Sniffin Sticks Test
Theta Wave Characterization.
title_short Caracterización de Potenciales EEG Olfativos en Personas Saludables
title_full Caracterización de Potenciales EEG Olfativos en Personas Saludables
title_fullStr Caracterización de Potenciales EEG Olfativos en Personas Saludables
title_full_unstemmed Caracterización de Potenciales EEG Olfativos en Personas Saludables
title_sort Caracterización de Potenciales EEG Olfativos en Personas Saludables
dc.creator.fl_str_mv Losada Cerquera, Daniela
dc.contributor.advisor.spa.fl_str_mv Gutiérrez Gutiérrez, Edgar Willington
Sarmiento Vela, Jhon Freddy
dc.contributor.author.spa.fl_str_mv Losada Cerquera, Daniela
dc.subject.es_ES.fl_str_mv Transformada de Fourier
Potenciales EEG olfativos
PSD olfativo onda Theta
ANOVA de medidas repetidas
Test Sniffin Sticks
Caracterización Onda Theta.
topic Transformada de Fourier
Potenciales EEG olfativos
PSD olfativo onda Theta
ANOVA de medidas repetidas
Test Sniffin Sticks
Caracterización Onda Theta.
Fourier transform
Olfactory EEG potentials
Theta wave olfactory PSD
Repeated measures ANOVA
Sniffin Sticks Test
Theta Wave Characterization.
dc.subject.keyword.es_ES.fl_str_mv Fourier transform
Olfactory EEG potentials
Theta wave olfactory PSD
Repeated measures ANOVA
Sniffin Sticks Test
Theta Wave Characterization.
description Propia
publishDate 2020
dc.date.issued.spa.fl_str_mv 2020-11-24
dc.date.accessioned.none.fl_str_mv 2021-03-10T20:06:15Z
dc.date.available.none.fl_str_mv 2021-03-10T20:06:15Z
dc.type.spa.fl_str_mv Trabajo de grado (Pregrado y/o Especialización)
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_7a1f
dc.identifier.uri.none.fl_str_mv http://repositorio.uan.edu.co/handle/123456789/3151
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dc.identifier.instname.spa.fl_str_mv instname:Universidad Antonio Nariño
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional UAN
dc.identifier.repourl.spa.fl_str_mv repourl:https://repositorio.uan.edu.co/
url http://repositorio.uan.edu.co/handle/123456789/3151
identifier_str_mv Allison, T., & Goff, W. R. (1967). Human cerebral evoked responses to odorous stimuli. Electroencephalography and Clinical Neurophysiology, 23(6), 558–560. https://doi.org/10.1016/0013-4694(67)90022-3
Arrufat-pié, E., Estévez-báez, M., Estévez-carreras, J. M., Curbelo, M., Leisman, G., León, C. B., & Fajardo, M. (2020). Analysis in the frequency domain of multicomponent oscillatory modes of the human electroencephalogram extracted with multivariate empirical mode decomposition.
At, M. E. T. H. O. D. S. A. N. D. A. P. P. L. I. C. I. O. N. S. (2014). Methods and applications.
Bonfils, P. (2008). Fisiología, exploración y trastornos de la olfacción. EMC - Otorrinolaringología, 37(1), 1–13. https://doi.org/10.1016/s1632-3475(08)70311-4
BioMed Research International. (2018). Retracted: Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. BioMed Research International, 2018, 2358107. https://doi.org/10.1155/2018/2358107
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spelling Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gutiérrez Gutiérrez, Edgar WillingtonSarmiento Vela, Jhon FreddyLosada Cerquera, Daniela10618180442021-03-10T20:06:15Z2021-03-10T20:06:15Z2020-11-24http://repositorio.uan.edu.co/handle/123456789/3151Allison, T., & Goff, W. R. (1967). Human cerebral evoked responses to odorous stimuli. Electroencephalography and Clinical Neurophysiology, 23(6), 558–560. https://doi.org/10.1016/0013-4694(67)90022-3Arrufat-pié, E., Estévez-báez, M., Estévez-carreras, J. M., Curbelo, M., Leisman, G., León, C. B., & Fajardo, M. (2020). Analysis in the frequency domain of multicomponent oscillatory modes of the human electroencephalogram extracted with multivariate empirical mode decomposition.At, M. E. T. H. O. D. S. A. N. D. A. P. P. L. I. C. I. O. N. S. (2014). 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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.Las señales EEG en la actualidad son un desafío debido a que se han encontrado asociaciones a alteraciones de tipo olfativo que pueden ser indicador de enfermedades neurodegenerativas, los análisis actuales se realizan a patrones olfativos de tipo cualitativo y no existen medidas que permitan asegurar que exista una relación directa entre el olfato y las alteraciones en términos médicos, desde la ingeniería biomédica se ve la necesidad de llevar estos patrones al análisis cuantitativo, es por esto que el uso del análisis de las señales EEG se convierte en un camino para acercarse a este problema tan complejo. Una de las estrategias que se han utilizado hasta ahora está basado en el diagnóstico clínico e intentar identificar estas alteraciones antes de que ocurra algún tipo de problema y que sirva como indicador no invasivo de un trastorno neurodegenerativo, es importante utilizar señales EEG como apoyo en el diagnóstico clínico aportando mayor precisión en términos cuantitativos. La presente investigación propone el uso de la onda theta obtenida a partir de la señal electroencefalográfica de personas saludables como una alternativa para acercarnos de manera cuantitativa y cualitativa observando los cambios en la actividad cerebral a partir del análisis en el tiempo, frecuencia con la FFT, y PSD aplicando medidas repetidas inter-sujeto e intra-sujeto, para identificar cambios en la energía de la señal. Este trabajo se realiza a partir de una base de datos de 10 sujetos colectada en Brasil, en los cuales se aplicó el test Sniffin Sticks, de los cuales se tomaron los olores de menta y limón y se analizaron en el electrodo F3 y F4 en la región frontotemporal. Los resultados más significativos que se obtuvieron, en relación a los filtros aplicados, la forma en la que la onda theta se manifiesta en el dominio de la frecuencia, la manifestación del PSD diferenciando el reposo vs el olor y las diferencias significativas que hay en función de la existencia o no entre el reposo y el olor, se identificaron 7 categorías en las que se puede caracterizar patrones en relación al comportamiento del reposo vs olor para los canales F3 y F4.Ingeniero(a) Biomédico(a)PregradoFinanciación propia 2'600.000PresencialspaUniversidad Antonio NariñoIngeniería BiomédicaFacultad de Ingeniería Mecánica, Electrónica y BiomédicaPopayán - Alto CaucaTransformada de FourierPotenciales EEG olfativosPSD olfativo onda ThetaANOVA de medidas repetidasTest Sniffin SticksCaracterización Onda Theta.Fourier transformOlfactory EEG potentialsTheta wave olfactory PSDRepeated measures ANOVASniffin Sticks TestTheta Wave Characterization.Caracterización de Potenciales EEG Olfativos en Personas SaludablesTrabajo de grado (Pregrado y/o Especialización)http://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85ORIGINAL2020_DanielaLosada2020_DanielaLosadaTrabajo de gradoapplication/pdf6013723https://repositorio.uan.edu.co/bitstreams/ea6daee8-e875-4e9d-9520-7babdf877458/downloada27d40417d55f6d735a6f217426fa90eMD572020_DanielaLosada_Autorización2020_DanielaLosada_AutorizaciónAutorización de autoresapplication/pdf613744https://repositorio.uan.edu.co/bitstreams/98509db3-138e-4c76-9677-95407ba16fae/download53204bdb5e33b16f320b10448e64f07fMD514LICENSElicense.txtlicense.txttext/plain; charset=utf-83277https://repositorio.uan.edu.co/bitstreams/f1690b6d-1f3b-447d-b3cb-6a6e2bd66b98/download45929732dd935afe8b7a333157380579MD516123456789/3151oai:repositorio.uan.edu.co:123456789/31512024-10-09 22:39:01.419https://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertoopen.accesshttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co

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