{"id":4955,"date":"2024-02-08T16:40:09","date_gmt":"2024-02-08T21:40:09","guid":{"rendered":"https:\/\/academia.utp.edu.co\/sneia\/?page_id=4955"},"modified":"2024-02-14T17:48:33","modified_gmt":"2024-02-14T22:48:33","slug":"proyectos","status":"publish","type":"page","link":"https:\/\/academia.utp.edu.co\/sneia\/proyectos\/","title":{"rendered":"Proyectos"},"content":{"rendered":"\n

(Secci\u00f3n en construcci\u00f3n)<\/p>\n\n\n\n

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Desarrollo de una metodolog\u00eda para evaluar el desempe\u00f1o de algoritmos basados en redes neuronales para la remoci\u00f3n de artefactos en electroencefalograf\u00eda (EEG)<\/h1>\n<\/div><\/div>\n<\/div>\n\n\n\n
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Descripci\u00f3n<\/h4>\n\n\n\n

En el marco del creciente inter\u00e9s por abordar desaf\u00edos significativos en salud p\u00fablica a nivel regional, especialmente en la regi\u00f3n del Eje Cafetero afectada por un incremento de patolog\u00edas psiqui\u00e1tricas durante la pandemia de COVID-19, nuestro proyecto emerge como una iniciativa cr\u00edtica. Se centra en la aplicaci\u00f3n de la neuroinform\u00e1tica y la inteligencia artificial para superar limitaciones diagn\u00f3sticas asociadas con la electroencefalograf\u00eda (EEG), una herramienta esencial en la identificaci\u00f3n y el manejo de trastornos mentales.<\/p>\n\n\n\n

La presencia de artefactos ex\u00f3genos en los registros EEG representa un obst\u00e1culo significativo, deteriorando la calidad de las se\u00f1ales y complicando el diagn\u00f3stico preciso. Frente a esta problem\u00e1tica, el proyecto propone el desarrollo y la validaci\u00f3n de una metodolog\u00eda para la evaluaci\u00f3n del desempe\u00f1o de algoritmos basados en redes neuronales destinados a la remoci\u00f3n de dichos artefactos.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Coinvestigadores<\/strong><\/h3>\n\n\n\n
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Jorge Hernando Rivera Piedrahita (Tutor)<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Michell Guevara Gaviria<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Juan Esteban Salazar Narvaez<\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Maria Angelica Vasquez Santamar\u00eda<\/strong><\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Brayan Alejandro Herrera Amarilles<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Jefferson Stiv Marin Ossa<\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Ana Victoria Medina<\/strong><\/p>\n<\/div>\n\n\n\n

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Impacto<\/h5>\n\n\n\n
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  • Contribuci\u00f3n a la investigaci\u00f3n pr\u00e1ctica de la Inteligencia Artificial en el campo de la medicina.<\/li>\n\n\n\n
  • En diversos art\u00edculos se ha visto el desarrollo de Redes Neuronales Artificiales o Deep Learning para la remoci\u00f3n de artefactos, estos art\u00edculos junto con el presente contribuyen a evaluar las limitaciones y ventajas que ofrece la Inteligencia Artificial para estos prop\u00f3sitos de limpieza, lo anterior con el fin de que esta no sea dependiente de la experiencia del usuario.<\/li>\n<\/ul>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
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    An\u00e1lisis de microestados en se\u00f1ales electroencefalogr\u00e1ficas para estudio de biomarcadores de trastorno afectivo bipolar con inteligencia artificial<\/h2>\n<\/div><\/div>\n<\/div>\n\n\n\n
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    Descripci\u00f3n<\/h5>\n\n\n\n

    Este proyecto representa una iniciativa en el \u00e1mbito de la neurociencia y la psiquiatr\u00eda, focaliz\u00e1ndose en la identificaci\u00f3n de posibles biomarcadores para el Trastorno Afectivo Bipolar (TAB) a trav\u00e9s de tecnolog\u00edas en Neuroinform\u00e1tica y aplicaci\u00f3n de Inteligencia Artificial. Reconociendo la complejidad del TAB y las limitaciones de las estrategias diagn\u00f3sticas actuales, nuestro equipo propone una metodolog\u00eda innovadora basada en el an\u00e1lisis de microestados electroencefalogr\u00e1ficos y la evaluaci\u00f3n de la onda P300, elementos que podr\u00edan revelar patrones distintivos en pacientes afectados por este trastorno.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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    Coinvestigadores<\/h3>\n\n\n\n
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    Jorge Hernando Rivera Piedrahita (Tutor)<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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    Michell Guevara Gaviria<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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    Sebastian Narvaez Jaramillo<\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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    Juan Esteban Salazar Narvaez<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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    Jefferson Stiv Marin Ossa<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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    Daniel Alejandro Lizarazo Estrada<\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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    Impacto<\/h5>\n\n\n\n

    El \u00e9xito de este proyecto tendr\u00eda un impacto significativo en el campo de la psiquiatr\u00eda y la neurolog\u00eda, proporcionando herramientas m\u00e1s objetivas y precisas para el diagn\u00f3stico del TAB. Esto podr\u00eda conducir a intervenciones m\u00e1s tempranas y personalizadas, mejorando los resultados cl\u00ednicos para los pacientes. Adem\u00e1s, el desarrollo de estos algoritmos contribuir\u00eda al avance de la neurociencia computacional y al mejor entendimiento del funcionamiento cerebral en el TAB, abriendo nuevas v\u00edas para la investigaci\u00f3n y el tratamiento de este y otros trastornos neuropsiqui\u00e1tricos.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

    (Secci\u00f3n en construcci\u00f3n) Coinvestigadores Ana Victoria Medina Coinvestigadores<\/p>\n","protected":false},"author":1917,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-4955","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"michellguevara","author_link":"https:\/\/academia.utp.edu.co\/sneia\/author\/michellguevara\/"},"uagb_comment_info":0,"uagb_excerpt":"(Secci\u00f3n en construcci\u00f3n) Coinvestigadores Ana Victoria Medina Coinvestigadores","_links":{"self":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/users\/1917"}],"replies":[{"embeddable":true,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/comments?post=4955"}],"version-history":[{"count":19,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4955\/revisions"}],"predecessor-version":[{"id":5316,"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/pages\/4955\/revisions\/5316"}],"wp:attachment":[{"href":"https:\/\/academia.utp.edu.co\/sneia\/wp-json\/wp\/v2\/media?parent=4955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}