E. Hortal

发表

Analyzing EEG signals to detect unexpected obstacles during walking

J. M. Azorín, E. Iáñez, R. Salazar-Varas, 2015, Journal of NeuroEngineering and Rehabilitation.

Processing EEG Signals to Detect Intention of Upper Limb Movement

Eduardo Iáñez, Álvaro Costa, José M. Azorín, 2014 .

Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation

José Maria Azorín, Rocio Salazar-Varas, Álvaro Costa, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

New approach based on frequency features of EEG signals when obstacles suddenly appear during walking

M. Rodríguez-Ugarte, E. Iáñez, A. Úbeda, 2016 .

Rehabilitation Robot System

E. Hortal, 2018, Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility.

elearning: a Dataset for Affect-driven Adaptation of Computer-Based Learning

S. Asteriadis, E. Hortal, C. Athanasiadis, 2019 .

Detection of intention of pedaling start cycle through EEG signals

M. Rodríguez-Ugarte, E. Iáñez, Álvaro Costa, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Supplementary System for a Brain-Machine Interface Based on Jaw Artifacts for the Bidimensional Control of a Robotic Arm

Eduardo Iáñez, Álvaro Costa, Enrique Hortal, 2014, PloS one.

Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals

Andrés Úbeda, Carlos Perez-Vidal, Eduardo Iáñez, 2015, PloS one.

Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions

J. Pons, F. Resquín, E. Hortal, 2015, Journal of NeuroEngineering and Rehabilitation.

$^{3}$

Learning: A Dataset for Affect-Driven Adaptation of Computer-B

Stylianos Asteriadis, Enrique Hortal, Christos Athanasiadis, 2020, IEEE MultiMedia.

Exploiting sensing devices availability in AR/VR deployments to foster engagement

Petros Daras, Stylianos Asteriadis, Evaggelos Spyrou, 2018, Virtual Reality.

Brain-Machine Interfaces for Assistive Robotics

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2015, Intelligent Assistive Robots.

BMI Based on Movement Intention Detection

Enrique Hortal, E. Hortal, 2018, Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility.

Detection of intention of pedaling start cycle through EEG signals

Andrés Úbeda, Eduardo Iáñez, José M. Azorín, 2016, EMBC.

Using EEG Signals to Detect the Intention of Walking Initiation and Stop

Andrés Úbeda, José Maria Azorín, Eduardo Fernández, 2015, IWINAC.

Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2014, Sensors.

First steps in the development of an EEG-based system to detect intention of gait initiation

José Maria Azorín, Eduardo Iáñez, Álvaro Costa, 2014, 2014 IEEE International Systems Conference Proceedings.

Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface

Andrés Úbeda, Eduardo Iáñez, Álvaro Costa, 2016 .

SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks

Andrés Úbeda, José Maria Azorín, Eduardo Fernández, 2015, Neurocomputing.

Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2013, 2013 IEEE International Systems Conference (SysCon).

An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities

David J. Brown, Maria Jose Galvez Trigo, Mohammad Taheri, 2020, Br. J. Educ. Technol..

Analyzing EEG signals to detect unexpected obstacles during walking

E. Iáñez, A. Úbeda, J. Azorín, 2015, Journal of NeuroEngineering and Rehabilitation.

Decoding knee angles from EEG signals for different walking speeds

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Control of a 2 DoF robot using a Brain-Machine Interface

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2014, Comput. Methods Programs Biomed..

Mental tasks selection method for a SVM-based BCI system

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2013, 2013 IEEE International Systems Conference (SysCon).

Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation

A. Dekker, S. Asteriadis, I. Zhovannik, 2023, Sensors.

Combining a Brain-Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2015, Robotics Auton. Syst..

Decoding the Attentional Demands of Gait through EEG Gamma Band Features

Andrés Úbeda, José M. Azorín, Eduardo Iáñez, 2016, PloS one.

Studying Cognitive Attention Mechanisms during Walking from EEG Signals

Andrés Úbeda, José Maria Azorín, Rocio Salazar-Varas, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Active learning for adaptive brain machine interface based on Software Agent

Eduardo Caicedo Bravo, José Maria Azorín, Javier Castillo-Garcia, 2015, 2015 23rd Mediterranean Conference on Control and Automation (MED).

Multimodal fusion based on information gain for emotion recognition in the wild

Mirela C. Popa, Esam Ghaleb, Enrique Hortal, 2017, 2017 Intelligent Systems Conference (IntelliSys).

Reducing the False Positives Rate in a BCI System to Detect Error-Related EEG Potentials

Andrés Úbeda, Eduardo Iáñez, Álvaro Costa, 2014 .

Online classification of two mental tasks using a SVM-based BCI system

Enrique Hortal, Andres Ubeda, Eduardo Ianez, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

EEG-Based Detection of Starting and Stopping During Gait Cycle

Andrés Úbeda, José Maria Azorín, Eduardo Fernández, 2016, Int. J. Neural Syst..

GAN-Based Data Augmentation For Improving The Classification Of EEG Signals

Sudhanva Bhat, Enrique Hortal, E. Hortal, 2021, PETRA.

Preliminary Study to Detect Gait Initiation Intention Through a BCI System

Andrés Úbeda, José Maria Azorín, Eduardo Iáñez, 2014, NEUROTECHNIX.

GANtron: Emotional Speech Synthesis with Generative Adversarial Networks pdf

Enrique Hortal, Rodrigo Brechard Alarcia, E. Hortal, 2021, ArXiv.