A support system for the diagnosis of balance pathologies

Autores
Villa Monte, Augusto; Quiroga, Facundo; Ronchetti, Franco; Estrebou, César Armando; Lanzarini, Laura Cristina; Estelrrich, Pedro Martín Alfredo; Estelrrich, Claus; Giannechini, Raimundo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Electronystagmography is one of the most widely used diagnostic studies for detecting balance dysfunction. There are various methods that can be used to carry out this diagnostic test, gyratory stimulation being the least invasive and most physiological for the patient. The procedure is based on measuring (analyzing) eye movements in search of certain patterns called nystagmuses. In this article, we introduce a hardware and software system for carrying out this type of studies that allows the healthcare professional to acquire, view, store, and manage results. The system also provides an intelligent method based on neural networks that can detect nystagmus patterns to help healthcare professionals make a diagnosis. The system is currently being used at a medical o ce for the detection of balance disorders. Even though there are similar systems that are commercially available, these are usually very expensive due to their hardware equipment requirements and use of proprietary technology. The system presented here was developed nationally at a very low cost and can be easily adapted to future changes in technology.
VI Workshop Innovación en Sistemas de Software (WISS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
medical diagnosis
balance pathologies
nystagmus
neural networks
peak detection
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/42280
Acceder
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spelling A support system for the diagnosis of balance pathologiesVilla Monte, AugustoQuiroga, FacundoRonchetti, FrancoEstrebou, César ArmandoLanzarini, Laura CristinaEstelrrich, Pedro Martín AlfredoEstelrrich, ClausGiannechini, RaimundoCiencias Informáticasmedical diagnosisbalance pathologiesnystagmusneural networkspeak detectionElectronystagmography is one of the most widely used diagnostic studies for detecting balance dysfunction. There are various methods that can be used to carry out this diagnostic test, gyratory stimulation being the least invasive and most physiological for the patient. The procedure is based on measuring (analyzing) eye movements in search of certain patterns called nystagmuses. In this article, we introduce a hardware and software system for carrying out this type of studies that allows the healthcare professional to acquire, view, store, and manage results. The system also provides an intelligent method based on neural networks that can detect nystagmus patterns to help healthcare professionals make a diagnosis. The system is currently being used at a medical o ce for the detection of balance disorders. Even though there are similar systems that are commercially available, these are usually very expensive due to their hardware equipment requirements and use of proprietary technology. The system presented here was developed nationally at a very low cost and can be easily adapted to future changes in technology.VI Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI)2014-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/42280enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-02-26T10:49:08Zoai:sedici.unlp.edu.ar:10915/42280Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-02-26 10:49:08.534SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A support system for the diagnosis of balance pathologies
title A support system for the diagnosis of balance pathologies
spellingShingle A support system for the diagnosis of balance pathologies
Villa Monte, Augusto
Ciencias Informáticas
medical diagnosis
balance pathologies
nystagmus
neural networks
peak detection
title_short A support system for the diagnosis of balance pathologies
title_full A support system for the diagnosis of balance pathologies
title_fullStr A support system for the diagnosis of balance pathologies
title_full_unstemmed A support system for the diagnosis of balance pathologies
title_sort A support system for the diagnosis of balance pathologies
dc.creator.none.fl_str_mv Villa Monte, Augusto
Quiroga, Facundo
Ronchetti, Franco
Estrebou, César Armando
Lanzarini, Laura Cristina
Estelrrich, Pedro Martín Alfredo
Estelrrich, Claus
Giannechini, Raimundo
author Villa Monte, Augusto
author_facet Villa Monte, Augusto
Quiroga, Facundo
Ronchetti, Franco
Estrebou, César Armando
Lanzarini, Laura Cristina
Estelrrich, Pedro Martín Alfredo
Estelrrich, Claus
Giannechini, Raimundo
author_role author
author2 Quiroga, Facundo
Ronchetti, Franco
Estrebou, César Armando
Lanzarini, Laura Cristina
Estelrrich, Pedro Martín Alfredo
Estelrrich, Claus
Giannechini, Raimundo
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
medical diagnosis
balance pathologies
nystagmus
neural networks
peak detection
topic Ciencias Informáticas
medical diagnosis
balance pathologies
nystagmus
neural networks
peak detection
dc.description.none.fl_txt_mv Electronystagmography is one of the most widely used diagnostic studies for detecting balance dysfunction. There are various methods that can be used to carry out this diagnostic test, gyratory stimulation being the least invasive and most physiological for the patient. The procedure is based on measuring (analyzing) eye movements in search of certain patterns called nystagmuses. In this article, we introduce a hardware and software system for carrying out this type of studies that allows the healthcare professional to acquire, view, store, and manage results. The system also provides an intelligent method based on neural networks that can detect nystagmus patterns to help healthcare professionals make a diagnosis. The system is currently being used at a medical o ce for the detection of balance disorders. Even though there are similar systems that are commercially available, these are usually very expensive due to their hardware equipment requirements and use of proprietary technology. The system presented here was developed nationally at a very low cost and can be easily adapted to future changes in technology.
VI Workshop Innovación en Sistemas de Software (WISS)
Red de Universidades con Carreras en Informática (RedUNCI)
description Electronystagmography is one of the most widely used diagnostic studies for detecting balance dysfunction. There are various methods that can be used to carry out this diagnostic test, gyratory stimulation being the least invasive and most physiological for the patient. The procedure is based on measuring (analyzing) eye movements in search of certain patterns called nystagmuses. In this article, we introduce a hardware and software system for carrying out this type of studies that allows the healthcare professional to acquire, view, store, and manage results. The system also provides an intelligent method based on neural networks that can detect nystagmus patterns to help healthcare professionals make a diagnosis. The system is currently being used at a medical o ce for the detection of balance disorders. Even though there are similar systems that are commercially available, these are usually very expensive due to their hardware equipment requirements and use of proprietary technology. The system presented here was developed nationally at a very low cost and can be easily adapted to future changes in technology.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/42280
url http://sedici.unlp.edu.ar/handle/10915/42280
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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