José M. Azorín

发表

Converging clinical and engineering research on neurorehabilitation

Jose L Pons, Metin Akay, J. Ibáñez, 2013 .

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal, 2020, Frontiers in Neurorobotics.

Autonomous Surgical Robot using Visual Servoing in the Extended Image Plane

Ricardo Morales, José María Sabater, Enric Cervera, 2008 .

Dynamic virtual environment to test teleoperated systems with time delay communications

Oscar Reinoso, José María Sabater, R. P. Neco, 2005 .

COMPUTATIONAL COST OF TWO FORWARD KINEMATIC MODELS FOR A S-G BASED CLIMBING ROBOT

Roque Saltaren, José María Sabater, Rafael Aracil, 2008 .

Interface based on electrooculography for velocity control of a robot arm

Andrés Úbeda, Eduardo Fernández, José M. Azorín, 2010 .

Control of Teleoperators with Communication Time Delay through State Convergence

Oscar Reinoso, Rafael Aracil, Manuel Ferre, 2004 .

Spectral Entropy and Vector Machines Support for Imagined Motion Detection in Brain-Computer Interfaces

Gustavo Patow, José M. Azorín, Fabio R. Llorella, 2017 .

Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales

Jose L Pons, Roberto Hornero, José M. Azorín, 2017 .

Stability analysis of a telerobotic system with time delay

Oscar Reinoso, José María Sabater, Rafael Aracil, 2003 .

Transparent Bilateral Control Architecture by State Convergence for Telerobotics

José María Sabater, Rafael Aracil, José M. Azorín, 2008 .

Convolutional neural networks and genetic algorithm for visual imagery classification

Gustavo Patow, José M. Azorín, Fabio R. Llorella, 2020, Physical and Engineering Sciences in Medicine.

Brain Symmetry Analysis during the Use of a BCI Based on Motor Imagery for the Control of a Lower-Limb Exoskeleton

Eduardo Iáñez, José M. Azorín, Vicente Quiles, 2021, Symmetry.

Classify four imagined objects with EEG signals

Gustavo Patow, Eduardo Iáñez, José M. Azorín, 2021, Evolutionary Intelligence.

Analysis of Frequency Bands and Channels Configuration for Detecting Intention of Change Direction Through EEG

Eduardo Iáñez, José M. Azorín, Vicente Quiles, 2021, Biosystems & Biorobotics.

Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perception

Gustavo Patow, José M. Azorín, Fabio R. Llorella, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

A BMI Based on Motor Imagery and Attention for Commanding a Lower-Limb Robotic Exoskeleton: A Case Study

Eduardo Iáñez, José M. Azorín, Vicente Quiles, 2021, Applied Sciences.

Lessons Learned From Clinical Trials of a Neurorehabilitation Therapy Based on tDCS, BMI, and Pedaling Systems

Eduardo Iáñez, José M. Azorín, Vicente Quiles, 2020, IEEE Systems Journal.

Electrooculography-based Human Interface for Robot Controlling

Ricardo Morales, Eduardo Iáñez, José M. Azorín, 2008 .

Processing EEG Signals to Detect Intention of Upper Limb Movement

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

Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity

Jose L. Contreras-Vidal, Chang S. Nam, José M. Azorín, 2019, Springer Series on Bio- and Neurosystems.

Corticospinal Coherence During Frequency-Modulated Isometric Ankle Dorsiflexion

Dario Farina, Andrés Úbeda, Massimo Sartori, 2017 .

Effect of tDCS stimulation of motor cortex and cerebellum on EEG classification of motor imagery and sensorimotor band power

I. N. Angulo-Sherman, Eduardo Iáñez, José M. Azorín, 2017, Journal of NeuroEngineering and Rehabilitation.

Characterization of Artifacts Produced by Gel Displacement on Non-invasive Brain-Machine Interfaces during Ambulation

Andrés Úbeda, Rocio Salazar-Varas, Álvaro Costa, 2016, Front. Neurosci..

Error Potential Detection to Assist Movement Intention Decoding in Stroke Patients

Andrés Úbeda, Eduardo Iáñez, José M. Azorín, 2013 .