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ORCIDAndrés Úbeda
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2020 – today
- 2024
[j20]Joaquin J. Gonzalez-Vazquez, Lluis Bernat
, José L. Ramon, Vicente Morell, Andrés Úbeda:
A Deep Learning Approach to Estimate Multi-Level Mental Stress From EEG Using Serious Games. IEEE J. Biomed. Health Informatics 28(7): 3965-3972 (2024)- 2022
- [c26]Lluis Bernat, Vicente Morell, José L. Ramon, Jorge Pomares, Andrés Úbeda:
A Neuromechanical Model of Knee Flexion-Extension Based on Linear Regressors for Neuro-Controlled Exoskeletons. ROBOT (2) 2022: 243-251 - 2021
- [j19]Andrés Úbeda, Álvaro Costa-García, Diego Torricelli, Ivan Vujaklija, Alessandro Del Vecchio:
Editorial: Neuromechanical Biomarkers in Robot-Assisted Motor Rehabilitation. Frontiers Neurorobotics 15: 831113 (2021) - 2020
- [j18]Andrés Úbeda, Fernando Torres, Santiago T. Puente:
Assistance Robotics and Biosensors 2019. Sensors 20(5): 1335 (2020)
2010 – 2019
- 2019
- [j17]Andrea Gonzalez-Rodriguez, José L. Ramon, Vicente Morell, Gabriel J. García, Jorge Pomares, Carlos Alberto Jara, Andrés Úbeda:
Evaluation of Optimal Vibrotactile Feedback for Force-Controlled Upper Limb Myoelectric Prostheses. Sensors 19(23): 5209 (2019) - 2018
- [j16]Andrés Úbeda, José Maria Azorín, Dario Farina, Massimo Sartori:
Estimation of Neuromuscular Primitives from EEG Slow Cortical Potentials in Incomplete Spinal Cord Injury Individuals for a New Class of Brain-Machine Interfaces. Frontiers Comput. Neurosci. 12: 3 (2018) - [j15]Andrés Úbeda, Brayan S. Zapata-Impata, Santiago T. Puente, Pablo Gil, Francisco A. Candelas Herías, Fernando Torres Medina:
A Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography. Sensors 18(7): 2366 (2018) - [j14]Fernando Torres Medina, Santiago T. Puente, Andrés Úbeda:
Assistance Robotics and Biosensors. Sensors 18(10): 3502 (2018) - [c25]Luis Mercado, José Maria Azorín, Miguel Platas, Andrés Úbeda, Griselda Quiroz:
Offline Lower-Limb Kinematic Decodification by Segments of EEG Signals. EMBC 2018: 2398-2401 - 2017
- [c24]Andrés Úbeda, Alessandro Del Vecchio, Massimo Sartori, Santiago T. Puente, Fernando Torres Medina, José Maria Azorín, Dario Farina:
Electromechanical delay in the tibialis anterior muscle during time-varying ankle dorsiflexion. ICORR 2017: 68-71 - 2016
- [j13]Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, Eduardo Fernández:
EEG-Based Detection of Starting and Stopping During Gait Cycle. Int. J. Neural Syst. 26(7): 1650029:1-1650029:13 (2016) - [c23]Marisol Rodriguez-Ugarte, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín:
Detection of intention of pedaling start cycle through EEG signals. EMBC 2016: 1496-1499 - [c22]Andrés Úbeda, José Maria Azorín, Ricardo Chavarriaga, José del R. Millán:
Evaluating decoding performance of upper limb imagined trajectories during center-out reaching tasks. SMC 2016: 252-257 - 2015
- [j12]Enrique Hortal, Daniel Planelles, Álvaro Costa, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández:
SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks. Neurocomputing 151: 116-121 (2015) - [j11]Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Carlos Pérez-Vidal, José Maria Azorín:
Combining a Brain-Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm. Robotics Auton. Syst. 72: 181-188 (2015) - [c21]Andrés Úbeda, Álvaro Costa, Eduardo Iáñez, Elisa Pinuela-Martin, Ester Marquez-Sanchez, Antonio J. del Ama, Ángel Gil-Agudo, José Maria Azorín:
Single joint movement decoding from EEG in healthy and incomplete spinal cord injured subjects. IROS 2015: 6179-6183 - [c20]Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, Eduardo Fernández, José Maria Azorín:
Using EEG Signals to Detect the Intention of Walking Initiation and Stop. IWINAC (1) 2015: 278-287 - [c19]Rocio Salazar-Varas, Álvaro Costa, Andrés Úbeda, Eduardo Iáñez, José María Azorín:
Changes in brain activity due to the sudden apparition of an obstacle during gait. NER 2015: 110-113 - [c18]Andrés Úbeda, Enrique Hortal, Javier Alarcon, Rocio Salazar-Varas, Antonio Sánchez, José Maria Azorín:
Online detection of horizontal hand movements from low frequency EEG components. NER 2015: 214-217 - [c17]Álvaro Costa, Rocio Salazar-Varas, Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín:
Studying Cognitive Attention Mechanisms during Walking from EEG Signals. SMC 2015: 882-886 - [p1]Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Brain-Machine Interfaces for Assistive Robotics. Intelligent Assistive Robots 2015: 77-102 - 2014
- [j10]Enrique Hortal, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Control of a 2 DoF robot using a Brain-Machine Interface. Comput. Methods Programs Biomed. 116(2): 169-176 (2014) - [j9]Daniel Planelles, Enrique Hortal, Álvaro Costa, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals. Sensors 14(10): 18172-18186 (2014) - [c16]Daniel Planelles, Enrique Hortal, Eduardo Iáñez, Álvaro Costa, Andrés Úbeda, José Maria Azorín:
Preliminary Study to Detect Gait Initiation Intention Through a BCI System. NEUROTECHNIX 2014: 61-66 - [c15]Andrés Úbeda, Daniel Planelles, Álvaro Costa, Enrique Hortal, Eduardo Iáñez, José Maria Azorín:
Decoding knee angles from EEG signals for different walking speeds. SMC 2014: 1475-1478 - [c14]Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, Daniel Planelles, Álvaro Costa, José Maria Azorín:
Selection of the best mental tasks for a SVM-based BCI system. SMC 2014: 1483-1488 - [c13]Enrique Hortal, Daniel Planelles, Andrés Úbeda, Álvaro Costa, José Maria Azorín:
Brain-Machine Interface system to differentiate between five mental tasks. SysCon 2014: 172-175 - 2013
- [j8]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, Carlos Pérez-Vidal:
Endogenous brain-machine interface based on the correlation of EEG maps. Comput. Methods Programs Biomed. 112(2): 302-308 (2013) - [j7]Luis Daniel Lledó, Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Internet browsing application based on electrooculography for disabled people. Expert Syst. Appl. 40(7): 2640-2648 (2013) - [j6]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, José María Sabater, Eduardo Fernández:
Classification method for BCIs based on the correlation of EEG maps. Neurocomputing 114: 98-106 (2013) - [j5]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Shared control architecture based on RFID to control a robot arm using a spontaneous brain-machine interface. Robotics Auton. Syst. 61(8): 768-774 (2013) - [j4]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
An Integrated Electrooculography and Desktop Input Bimodal Interface to Support Robotic Arm Control. IEEE Trans. Hum. Mach. Syst. 43(3): 338-342 (2013) - [c12]Enrique Hortal, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Eduardo Fernández:
Training Study Approaches for a SVM-Based BCI: Adaptation to the Model vs Adaptation to the User. IWINAC (1) 2013: 131-140 - [c11]Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín, Eduardo Fernández:
Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm. IWINAC (1) 2013: 151-160 - [c10]Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín:
Mental tasks selection method for a SVM-based BCI system. SysCon 2013: 767-771 - [c9]Andrés Úbeda, Eduardo Iáñez, Enrique Hortal, José Maria Azorín:
Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system. SysCon 2013: 778-782 - 2012
- [j3]J. L. Sirvent Blasco, Eduardo Iáñez, Andrés Úbeda, José Maria Azorín:
Visual evoked potential-based brain-machine interface applications to assist disabled people. Expert Syst. Appl. 39(9): 7908-7918 (2012) - [j2]Eduardo Iáñez, Andrés Úbeda, José Maria Azorín, Carlos Pérez-Vidal:
Assistive robot application based on an RFID control architecture and a wireless EOG interface. Robotics Auton. Syst. 60(8): 1069-1077 (2012) - [c8]Andrés Úbeda, Eduardo Iáñez, Javier J. Badesa, Ricardo Morales, José Maria Azorín, Nicolás M. García:
Control strategies of an assistive robot using a Brain-Machine Interface. IROS 2012: 3553-3558 - 2011
- [c7]Eduardo Iáñez, Andrés Úbeda, José Maria Azorín:
Multimodal human-machine interface based on a brain-computer interface and an electrooculography interface. EMBC 2011: 4572-4575 - [c6]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Mental tasks classification for BCI using image correlation. EMBC 2011: 6303-6306 - [c5]Fernando Flórez, José Maria Azorín, Eduardo Iáñez, Andrés Úbeda, Eduardo Fernández:
Development of a Low-cost SVM-based Spontaneous Brain-computer Interface. IJCCI (NCTA) 2011: 415-421 - [c4]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, Eduardo Fernández:
Analysis of EEG Mapping Images to Differentiate Mental Tasks in Brain-Computer Interfaces. IWINAC (1) 2011: 246-255 - 2010
- [j1]Eduardo Iáñez, José Maria Azorín, Andrés Úbeda, José Manuel Ferrández, Eduardo Fernández:
Mental tasks-based brain-robot interface. Robotics Auton. Syst. 58(12): 1238-1245 (2010) - [c3]Jose Luis Sirvent Blasco, José Maria Azorín, Eduardo Iáñez, Andrés Úbeda, Eduardo Fernández:
P300-Based Brain-Computer Interface for Internet Browsing. PAAMS (Special Sessions and Workshops) 2010: 615-622 - [c2]Eduardo Iáñez, José Maria Azorín, Andrés Úbeda, Eduardo Fernández, Jose Luis Sirvent Blasco:
LDA-based classifiers for a mental tasks-based Brain-Computer Interface. SMC 2010: 546-551 - [c1]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín, José María Sabater, Nicolás M. García, Carlos Pérez-Vidal:
Improving human-robot interaction by a multimodal interface. SMC 2010: 3580-3585
Coauthor Index
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