Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients
Gracia, Desirée I, Ortiz, Mario, Candela, Tatiana, Iáñez, Eduardo, Sánchez, Rosa M, Díaz, Carmina, Azorín, José M
Published in Sensors (Basel, Switzerland) (25.06.2023)
Published in Sensors (Basel, Switzerland) (25.06.2023)
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Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking
Quiles, Vicente, Ferrero, Laura, Iáñez, Eduardo, Ortiz, Mario, Gil-Agudo, Ángel, Azorín, José M
Published in Frontiers in neuroscience (14.03.2023)
Published in Frontiers in neuroscience (14.03.2023)
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Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
Ferrero, Laura, Soriano-Segura, Paula, Navarro, Jacobo, Jones, Oscar, Ortiz, Mario, Iáñez, Eduardo, Azorín, José M, Contreras-Vidal, José L
Published in Journal of neuroengineering and rehabilitation (05.04.2024)
Published in Journal of neuroengineering and rehabilitation (05.04.2024)
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Decoding the Attentional Demands of Gait through EEG Gamma Band Features
Costa, Álvaro, Iáñez, Eduardo, Úbeda, Andrés, Hortal, Enrique, Del-Ama, Antonio J, Gil-Agudo, Ángel, Azorín, José M
Published in PloS one (26.04.2016)
Published in PloS one (26.04.2016)
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Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton
Ferrero, Laura, Quiles, Vicente, Ortiz, Mario, Iáñez, Eduardo, Gil-Agudo, Ángel, Azorín, José M.
Published in iScience (19.05.2023)
Published in iScience (19.05.2023)
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Journal Article
Improving Real-Time Lower Limb Motor Imagery Detection Using tDCS and an Exoskeleton
Rodríguez-Ugarte, Marisol, Iáñez, Eduardo, Ortiz, Mario, Azorín, Jose M
Published in Frontiers in neuroscience (23.10.2018)
Published in Frontiers in neuroscience (23.10.2018)
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Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet
Juan, Javier V, Martínez, Rubén, Iáñez, Eduardo, Ortiz, Mario, Tornero, Jesús, Azorín, José M
Published in Frontiers in neuroinformatics (29.02.2024)
Published in Frontiers in neuroinformatics (29.02.2024)
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Assessing movement factors in upper limb kinematics decoding from EEG signals
Úbeda, Andrés, Hortal, Enrique, Iáñez, Eduardo, Perez-Vidal, Carlos, Azorín, Jose M
Published in PloS one (28.05.2015)
Published in PloS one (28.05.2015)
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Journal Article
A BMI Based on Motor Imagery and Attention for Commanding a Lower-Limb Robotic Exoskeleton: A Case Study
Ferrero, Laura, Quiles, Vicente, Ortiz, Mario, Iáñez, Eduardo, Azorín, José M.
Published in Applied sciences (01.05.2021)
Published in Applied sciences (01.05.2021)
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Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking
Elvira, María, Iáñez, Eduardo, Quiles, Vicente, Ortiz, Mario, Azorín, José M
Published in Sensors (Basel, Switzerland) (10.12.2019)
Published in Sensors (Basel, Switzerland) (10.12.2019)
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Classify four imagined objects with EEG signals
Costa, Fabio R. Llorella, Iáñez, Eduardo, Azorín, José M., Patow, Gustavo
Published in Evolutionary intelligence (01.09.2022)
Published in Evolutionary intelligence (01.09.2022)
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Decoding of Turning Intention during Walking Based on EEG Biomarkers
Quiles, Vicente, Ferrero, Laura, Iáñez, Eduardo, Ortiz, Mario, Azorín, José M.
Published in Biosensors (Basel) (22.07.2022)
Published in Biosensors (Basel) (22.07.2022)
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Journal Article
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent
Rodríguez-Ugarte, Marisol, Iáñez, Eduardo, Ortíz, Mario, Azorín, Jose M
Published in Frontiers in neuroinformatics (11.07.2017)
Published in Frontiers in neuroinformatics (11.07.2017)
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