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Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial

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Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial

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González, R.; Barrientos, A.; Toapanta, M.; Cerro, JD. (2017). Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial. Revista Iberoamericana de Automática e Informática industrial. 14(4):394-405. https://doi.org/10.1016/j.riai.2017.07.005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143305

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Title: Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial
Secondary Title: Application of Support Vector Machines (SVM) for clinical diagnosis of Parkinson's Disease and Essential Tremor
Author: González, Roberto Barrientos, Antonio Toapanta, Marcelo Cerro, Jaime del
Issued date:
Abstract:
[ES] Los enfermos de Párkinson (EP) y de temblor esencial (TE) suponen un porcentaje importante de la casuística clínica en los trastornos del movimiento, que impiden a los sujetos afectados el llevar una vida normal, ...[+]


[EN] Parkinson's Disease (PD) and Essential Tremor (ET) patients represent a significant percentage of the clinical cases in movement disorders pathologies, which prevents to the affected people leading a normal life. A ...[+]
Subjects: Computer Assisted diagnosis , Binary classifiers , Parkinson-Essential classification , Objective tremor measure , Pattern analysis , Feature extraction , Medical diagnosis , Ayuda al diagnóstico , Clasificadores binarios , Clasificación Párkinson-Esencial , Medida objetiva del temblor , Análisis de patrones , Extracción de características , Diagnóstico médico
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.1016/j.riai.2017.07.005
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.1016/j.riai.2017.07.005
Thanks:
También hacer mención al Centro de Referencia Estatal de Autonomía Personal y Ayudas Técnicas (CEAPAT), organismo que financió el sistema DIMETER, herramienta fundamental cuyo desarrollo y utilización nos ha permitido ...[+]
Type: Artículo

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