Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión

Los sistemas biomédicos de última generación registran en intervalos cortos de tiempo la dinámica fisiológica mediante grandes bases de datos. La interpretación adecuada de la información difícilmente puede hacerse por la experticia de un sólo médico, por lo tanto la toma de decisiones se basa sólo...

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Autores:
Orego Metaute, Diana Alexandra
Delgado Trejos, Edilson
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Fecha de publicación:
2011
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Universidad Santo Tomás
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Repositorio Institucional USTA
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spa
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oai:repository.usta.edu.co:11634/8263
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http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/40
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Conjuntos Difusos/Aproximados, Dinámica Fisiológica, Reducción de Dimensiones, Representación Efectiva, Extracción/Selección de características.
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network_acronym_str SANTOTOMAS
network_name_str Repositorio Institucional USTA
repository_id_str
dc.title.spa.fl_str_mv Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
title Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
spellingShingle Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
Conjuntos Difusos/Aproximados, Dinámica Fisiológica, Reducción de Dimensiones, Representación Efectiva, Extracción/Selección de características.
title_short Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
title_full Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
title_fullStr Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
title_full_unstemmed Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
title_sort Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
dc.creator.fl_str_mv Orego Metaute, Diana Alexandra
Delgado Trejos, Edilson
dc.contributor.author.spa.fl_str_mv Orego Metaute, Diana Alexandra
Delgado Trejos, Edilson
dc.subject.proposal.spa.fl_str_mv Conjuntos Difusos/Aproximados, Dinámica Fisiológica, Reducción de Dimensiones, Representación Efectiva, Extracción/Selección de características.
topic Conjuntos Difusos/Aproximados, Dinámica Fisiológica, Reducción de Dimensiones, Representación Efectiva, Extracción/Selección de características.
description Los sistemas biomédicos de última generación registran en intervalos cortos de tiempo la dinámica fisiológica mediante grandes bases de datos. La interpretación adecuada de la información difícilmente puede hacerse por la experticia de un sólo médico, por lo tanto la toma de decisiones se basa sólo en algunas variables seleccionadas. La representación efectiva de variables fisiológicas mediante fuzzy rough set tipo 1 puede ser aplicada para caracterizar y extraer la información relevante de la dinámica fisiológica; sin embargo, estas técnicas poseen el problema de la complejidad de sus algoritmos y alto costo computacional; por lo tanto, se requiere aplicar técnicas de fuzzy rough set tipo 2, asociadas a métodos axiomáticos a través de operadores de aproximación difusa baja y alta como conceptos primitivos para generar un sistema de reducción de dimensiones con tendencia a la disminución de costo computacional en aplicaciones de ingeniería biomédica. En este artículo se presenta la revisión del estado del arte sobre representación efectiva de dinámicas fisiológicas mediante fuzzy rough set, con el fin de determinar la capacidad que poseen este tipo de técnicas para ser incluidas en procedimientos automáticos de toma de decisiones que apoyen el concepto clínico de un especialista.
publishDate 2011
dc.date.issued.spa.fl_str_mv 2011-12-07
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dc.type.drive.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.spa.fl_str_mv http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/40
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url http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/40
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dc.relation.spa.fl_str_mv http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/40/25
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dc.relation.citationissue.eng.fl_str_mv ITECKNE; Vol 8, No 2 (2011); 204-215
dc.relation.citationissue.spa.fl_str_mv ITECKNE; Vol 8, No 2 (2011); 204-215
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dc.rights.eng.fl_str_mv Copyright (c) 2018 ITECKNE
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dc.publisher.eng.fl_str_mv Universidad Santo Tomás. Seccional Bucaramanga
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spelling Orego Metaute, Diana AlexandraDelgado Trejos, Edilson2011-12-07http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/4010.15332/iteckne.v8i2.40Los sistemas biomédicos de última generación registran en intervalos cortos de tiempo la dinámica fisiológica mediante grandes bases de datos. La interpretación adecuada de la información difícilmente puede hacerse por la experticia de un sólo médico, por lo tanto la toma de decisiones se basa sólo en algunas variables seleccionadas. La representación efectiva de variables fisiológicas mediante fuzzy rough set tipo 1 puede ser aplicada para caracterizar y extraer la información relevante de la dinámica fisiológica; sin embargo, estas técnicas poseen el problema de la complejidad de sus algoritmos y alto costo computacional; por lo tanto, se requiere aplicar técnicas de fuzzy rough set tipo 2, asociadas a métodos axiomáticos a través de operadores de aproximación difusa baja y alta como conceptos primitivos para generar un sistema de reducción de dimensiones con tendencia a la disminución de costo computacional en aplicaciones de ingeniería biomédica. En este artículo se presenta la revisión del estado del arte sobre representación efectiva de dinámicas fisiológicas mediante fuzzy rough set, con el fin de determinar la capacidad que poseen este tipo de técnicas para ser incluidas en procedimientos automáticos de toma de decisiones que apoyen el concepto clínico de un especialista.application/pdfspaUniversidad Santo Tomás. Seccional Bucaramangahttp://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/40/25/*ref*/A. López and C. Vázquez, “Algoritmo de compresión para la señal de pulso arterial periférico,” Universidad, Ciencia y Tecnología, vol. 9, no. 34, pp. 75-79, Junio 2005./*ref*/D. Sánchez, “Procesado y transmisión de señales biomédicas para el diagnóstico de trastornos y enfermedades del sueño,” Universidad de Cádiz, Tesis Doctoral 2008./*ref*/M. Imhoff, R. Fried, U. Gather, and V. 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Pal, “Feature Selection Using F-information Measures in Fuzzy Approximation Spaces,” IEEE Transaction on Knowledge and data Engineering, vol. 22, no. 6, pp. 854-867, Jun. 2010.ITECKNE; Vol 8, No 2 (2011); 204-215ITECKNE; Vol 8, No 2 (2011); 204-2152339-34831692-1798Copyright (c) 2018 ITECKNEhttp://purl.org/coar/access_right/c_abf2Representaciónm efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisióninfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Conjuntos Difusos/Aproximados, Dinámica Fisiológica, Reducción de Dimensiones, Representación Efectiva, Extracción/Selección de características.11634/8263oai:repository.usta.edu.co:11634/82632023-07-14 16:37:17.692metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co

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