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Nuevo Enfoque para la Clasificación de Señales EEG usando la Varianza de la Diferencia entre las Clases de un Clasificador Bayesiano

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Nuevo Enfoque para la Clasificación de Señales EEG usando la Varianza de la Diferencia entre las Clases de un Clasificador Bayesiano

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Botelho, TR.; Soprani, D.; Rodrigues, C.; Ferreira, A.; Frizera, A. (2017). Nuevo Enfoque para la Clasificación de Señales EEG usando la Varianza de la Diferencia entre las Clases de un Clasificador Bayesiano. Revista Iberoamericana de Automática e Informática industrial. 14(4):362-371. https://doi.org/10.1016/j.riai.2017.07.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143300

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Title: Nuevo Enfoque para la Clasificación de Señales EEG usando la Varianza de la Diferencia entre las Clases de un Clasificador Bayesiano
Secondary Title: New Approach to the EEG Signals Classification using the Variance of the Difference between the Classes of a Bayesian Classifier
Author: Botelho, Thomaz R. Soprani, Douglas Rodrigues, Camila Ferreira, André Frizera, Anselmo
Issued date:
Abstract:
[ES] Los avances en robótica de rehabilitación están beneficiando en gran medida a los pacientes con discapacidad física. Los dispositivos de asistencia y rehabilitación pueden basar su funcionamiento en información ...[+]


[EN] Patients with physical disabilities can benefit from robotic rehabilitation. This improves the efficiency of recovery and, therefore, the rehabilitation of the patient. Assistive and rehabilitation devices can make ...[+]
Subjects: Human-machine interface , Signal analysis , Biomedical systems , Inertial measurement units , Human brain , Movement , Interfaz hombre-máquina , Análisis de señales , Sistemas biomédicos , Unidades de medición inercial , Cerebro humano , Movimiento
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.2017.07.002
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.1016/j.riai.2017.07.002
Project ID:
CNPq/308529/2013-8
CAPES/88887.095626/2015-01
FAPES/67566480
FAPES/72982608
Thanks:
Los autores desean agradecer a CNPq (308529/2013-8), CAPES (88887.095626/2015-01) y FAPES (67566480 y 72982608) por dar soporte a esta investigación.
Type: Artículo

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