Documentos de Velázquez-Mariño M. | REDI

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Mostrando 6 resultados de: 6

Filtros aplicados

Origen: "scopus"

Subtipo de publicación

Conference Object(5)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)

Neurocomputing(1)

Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2014 - In Conjunction with ICINCO 2014(1)

Área temáticas

Enfermedades(2)

Medicina y salud(2)

Métodos informáticos especiales(2)

Ciencias de la computación(1)

Cirugía y especialidades médicas afines(1)

Área de conocimiento

Aprendizaje automático(1)

Ciencias de la computación(1)

Minería de datos(1)

Modelo matemático(1)

Año de Publicación

Palabras Claves

Clinical electrooculography(2)

Saccade identification(2)

CLÚSTER ANALYSIS(1)

Classification and regression trees(1)

Cluster analysis of finger-to-nose test for spinocerebellar ataxia assessment

Conference Object

Abstract: The Finger-to-nose test (FNT) is an accepted neurological evaluation to study the coordination condi

Palabras claves:

CLÚSTER ANALYSIS, Finger-to-nose test, Incoordination assessment, NeuroScreening coordination

Atencia M., Becerra-García R.A., Pupo-Ricardo D., Rodolfo García−Bermúdez, Sandoval F., Velázquez-Mariño M., Velazquez-Perez L.

A comparison of two fitting functions for sacadic pulse component mathematical modelling

Conference Object

Abstract: An accepted model for the saccade signal of ocular motor neurons comprises two components in the for

Palabras claves:

Becerra-García R.A., López L., Rodolfo García−Bermúdez, Ruiz F.R., Velázquez-Mariño M., Velazquez-Perez L., Velázquez-Rodríguez C.

Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography

Abstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),

Palabras claves:

Classification and regression trees, Clinical electrooculography, K-NEAREST NEIGHBORS, Saccade identification, SUPPORT VECTOR MACHINES

Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodráguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.

Architecture for neurological coordination tests implementation

Conference Object

Abstract: This paper proposes a generic architecture for devising interactive neurological assessment tests, a

Palabras claves:

Finger-Nose-Finger test, Machine learning, Neurological tests, Software architecture, Touchscreen devices

Atencia M., Pupo-Ricardo D., Rodolfo García−Bermúdez, Sandoval F., Velázquez-Mariño M.

Evaluation of fitting functions for the saccade velocity profile in electrooculographic records

Conference Object

Abstract: A saccade is an ocular movement that is characterized by speed and precision. The velocity profile o

Palabras claves:

Ataxia, Curve fitting, Eye movements, Gaussian series, Nonlinear regression, Saccade, SCA2, velocity profile

Becerra-García R.A., José Arteaga-Vera, Rodolfo García−Bermúdez, Rodríguez M., Ruiz F.R., Velázquez-Mariño M., Velazquez-Perez L., Velázquez-Rodríguez C.

Non spontaneous saccadic movements identification in clinical electrooculography using machine learning

Conference Object

Abstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),

Palabras claves:

classification, Clinical electrooculography, Saccade identification

Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodríguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.