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Listar por autor "García-Bermúdez, Rodolfo"
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Aplicaciones de la transformada wavelet en el procesamiento de biopotenciales electrooculográficos
García-Bermúdez, Rodolfo (2017-05-02)A partir de una panorámica general acerca de los biopotenciales electro-oculográficos, con énfasis en movimientos oculares sacádicos, se describirán algunos de los retos presentes en su procesamiento: la simulación de estas ... -
Architecture for Neurological Coordination Tests Implementation
Velazquez-Mariño, Michel; Atencia-Ruiz, Miguel Alejandro; García-Bermúdez, Rodolfo; Sandoval-Hernández, Francisco
; Pupo-Ricardo, Daniel (Springer, 2017-06)
This paper proposes a generic architecture for devising interactive neurological assessment tests, aimed at being implemented on a touchscreen device. The objective is both to provide a set of software primitives that ... -
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 ... -
Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life
Silva, Carlos A.; Casilari-Pérez, Eduardo; García-Bermúdez, Rodolfo (Elsevier, 2024)
The evaluation of fall detection systems based on wearables is controversial as most studies in the literature benchmark their proposals against falls that are simulated by experimental subjects under unrealistic laboratory ... -
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 ... -
Technology for processing saccadic electrooculograms in people with Spinocerebellar Ataxia type 2
Becerra-García, Roberto Antonio (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 ... -
UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests
Silva, Carlos A.; Casilari-Pérez, Eduardo; García-Bermúdez, Rodolfo (Elsevier, 2024-06-12)
Timed Up and Go (TUG) test is one of the most popular clinical tools aimed at the assessment of functional mobility and fall risk in older adults. The automation of the analysis of TUG movements is of great medical interest ... -
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 ...