Listar por autor "Becerra-García, Roberto Antonio"
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Automatic recording and processing of saccadic electrooculograms.
Becerra-García, Roberto Antonio; Joya-Caparrós, Gonzalo
; García-Bermúdez, Rodolfo; García-Lagos, Francisco (2023)
This work presents the development of a technology that processes human eye movement records in a fully automatic way. Since it is part of a collaboration with the Center for Rehabilitation and Research of Hereditary Ataxias ... -
Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment
Velazquez-Mariño, Michel; Atencia-Ruiz, Miguel Alejandro; García-Bermúdez, Rodolfo; Pupo-Ricardo, Daniel; Becerra-García, Roberto Antonio; Velázquez-Pérez, Luis; Sandoval-Hernández, Francisco[et al.] (2015-06-18)
El test Finger-to-nose test (FNT) es una evaluación neurológica para estudiar la coordinación. Se presenta una metodología de análisis de datos de FNT, que permite evaluar la evolución del estado de enfermos de Ataxia ... -
Non spontaneous saccadic movements identification in clinical electrooculography using machine learning
Becerra-García, Roberto Antonio; García-Bermúdez, Rodolfo; Joya-Caparrós, Gonzalo; Fernández-Higuera, Abel; Velázquez-Rodríguez, Camilo; Velazquez-Mariño, Michel; Cuevas-Beltrán, Franger; García-Lagos, Francisco; Rodríguez-Labrada, Roberto[et al.] (Springer, 2015)
In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography ... -
Saccadic points classification using Multilayer Perceptron and Randon Forest classifiers in EOG recording of patients with Ataxia SCA2
Becerra-García, Roberto Antonio; Joya-Caparrós, Gonzalo; García, Rodolfo; Velázquez, Luis; Rodríguez, Roberto; Pino, Carmen[et al.] (2013-10-23)
In this paper, we compare the performance of two different methods for the task of electrooculogram saccadic points classification in Patients with Ataxia SCA2: Multilayer Perceptrons (MLP) and Random Forest. First we ... -
Technology for processing saccadic electrooculograms in people with Spinocerebellar Ataxia type 2
(UMA Editorial, 2022-07-19)Este trabajo presenta el desarrollo de una tecnología que procesa los registros de movimiento del ojo humano de forma totalmente automática. También tiene un fuerte enfoque en los registros de sujetos que sufren Ataxia ... -
Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2
Stoean, Catalin; Stoean, Ruxandra; Becerra-García, Roberto Antonio; Atencia-Ruiz, Miguel Alejandro; García-Lagos, Francisco; Velázquez-Pérez, Luis; Joya-Caparrós, Gonzalo; García-Bermúdez, Rodolfo[et al.] (2019-06-17)
This paper aims at assessing spino-cerebellar type 2 ataxiaby classifying electrooculography records into registers corresponding to healthy, presymptomatic and ill individuals. The primary used technique is the convolutional ...