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Eduardo Iáñez
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- affiliation: Universidad Miguel Hernández de Elche, Spain
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2020 – today
- 2024
- [j29]Paula Soriano-Segura, Mario Ortíz, Eduardo Iáñez, José Maria Azorín:
Design of a brain-machine interface for reducing false activations of a lower-limb exoskeleton based on error related potential. Comput. Methods Programs Biomed. 255: 108332 (2024) - [j28]Javier V. Juan, Rubén Martínez, Eduardo Iáñez, Mario Ortíz, Jesús Tornero, José Maria Azorín:
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet. Frontiers Neuroinformatics 18 (2024) - [c52]Mariana Elizalde, Jesica Martínez, Mario Ortíz, Eduardo Iáñez, María Herranz-Lopez, Vicente Micol, José Maria Azorín:
Analysis of Anxiety Caused by Fasting in Obesity Patients Using EEG Signals. IWINAC 2024: 223-232 - 2023
- [j27]Desirée I. Gracia, Mario Ortíz, Tatiana Candela, Eduardo Iáñez, Rosa M. Sánchez, Carmina Díaz, José María Azorín:
Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients. Sensors 23(13): 5880 (2023) - [c51]Laura Ferrero, Vicente Quiles, Paula Soriano-Segura, Mario Ortiz, Eduardo Iáñez, José Luis Contreras-Vidal, José Maria Azorín:
Transfer Learning with CNN Models for Brain-Machine Interfaces to command lower-limb exoskeletons: A Solution for Limited Data. EMBC 2023: 1-4 - [c50]Paula Soriano-Segura, Laura Ferrero, Mario Ortiz, Eduardo Iáñez, José María Azorín:
Analysis of Error Potentials generated by a lower limb exoskeleton feedback in a BMI for gait control. EMBC 2023: 1-4 - [c49]Paula Soriano-Segura, Laura Ferrero, Desirée I. Gracia, Mario Ortíz, Eduardo Iáñez, José Maria Azorín:
Analysis of Different Stimulus for Evoking the ErrP Potential in a MI-BMI for Starting the Gait with a Lower-Limb Exoskeleton. SMC 2023: 3653-3658 - 2022
- [j26]Fabio R. Llorella Costa, Eduardo Iáñez, José Maria Azorín, Gustavo Patow:
Classify four imagined objects with EEG signals. Evol. Intell. 15(3): 1657-1666 (2022) - [c48]Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Riemannian classification analysis for model EEG intention speed patterns. EMBC 2022: 402-405 - [c47]Laura Ferrero, Vicente Quiles, Mario Ortíz, Eduardo Iáñez, Álvaro Megía, Ángel Gil-Agudo, José Maria Azorín:
Assessing user experience with BMI-assisted exoskeleton in patients with spinal cord injury. EMBC 2022: 4064-4067 - [c46]Laura Ferrero, Vicente Quiles, Mario Ortíz, Javier V. Juan, Eduardo Iáñez, José Maria Azorín:
Inter-session Transfer Learning in MI Based BCI for Controlling a Lower-Limb Exoskeleton. IWINAC (1) 2022: 243-252 - [c45]Javier V. Juan, Luis de la Ossa, Eduardo Iáñez, Mario Ortíz, Laura Ferrero, José Maria Azorín:
Decoding Lower-Limbs Kinematics from EEG Signals While Walking with an Exoskeleton. IWINAC (1) 2022: 615-624 - [c44]Laura Ferrero, Eduardo Iáñez, Vicente Quiles, José Maria Azorín, Mario Ortíz:
Adapting EEG based MI-BMI depending on alertness level for controlling a lower-limb exoskeleton. MetroXRAINE 2022: 399-403 - 2021
- [j25]Laura Ferrero, Mario Ortíz, Vicente Quiles, Eduardo Iáñez, José Maria Azorín:
Improving Motor Imagery of Gait on a Brain-Computer Interface by Means of Virtual Reality: A Case of Study. IEEE Access 9: 49121-49130 (2021) - [j24]Mario Ortíz, Pablo Vicente, Eduardo Iáñez, E. Montiel, José Maria Azorín:
Assessing Footwear Comfort by Electroencephalography Analysis. IEEE Access 9: 134259-134269 (2021) - [j23]Paula Soriano-Segura, Eduardo Iáñez, Mario Ortíz, Vicente Quiles, José Maria Azorín:
Detection of the Intention of Direction Changes During Gait Through EEG Signals. Int. J. Neural Syst. 31(11): 2150015:1-2150015:15 (2021) - [j22]Vicente Quiles, Eduardo Iáñez, Mario Ortíz, Noelia Medina, Antonia Serrano, José Maria Azorín:
Lessons Learned From Clinical Trials of a Neurorehabilitation Therapy Based on tDCS, BMI, and Pedaling Systems. IEEE Syst. J. 15(2): 1873-1880 (2021) - [j21]Laura Ferrero, Mario Ortíz, Vicente Quiles, Eduardo Iáñez, José A. Flores, José Maria Azorín:
Brain Symmetry Analysis during the Use of a BCI Based on Motor Imagery for the Control of a Lower-Limb Exoskeleton. Symmetry 13(9): 1746 (2021) - [c43]Laura Ferrero, Vicente Quiles, Mario Ortíz, Eduardo Iáñez, José Maria Azorín:
BCI based on lower-limb motor imagery and a state machine for walking on a treadmill. NER 2021: 1-4 - [c42]Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, José M. Cano, José Maria Azorín:
Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG. NER 2021: 554-557 - [c41]Laura Ferrero, Vicente Quiles, Mario Ortíz, Eduardo Iáñez, A. Navarro-Arcas, José-Antonio Flores-Yepes, José Maria Azorín:
Frequency band selection for a lower-limb MI BCI to control a treadmill. SMC 2021: 3170-3175 - 2020
- [j20]Mario Ortíz, Eduardo Iáñez, José L. Contreras-Vidal, José Maria Azorín:
Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study. Frontiers Neurorobotics 14: 48 (2020) - [j19]Mario Ortíz, Eduardo Iáñez, Jorge Antonio Gaxiola-Tirado, David Gutiérrez, José Maria Azorín:
Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation. Int. J. Neural Syst. 30(8): 2050038:1-2050038:15 (2020) - [j18]Álvaro Costa-García, Eduardo Iáñez, Moeka Sonoo, Shotaro Okajima, Hiroshi Yamasaki, Sayako Ueda, Shingo Shimoda:
Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction. IEEE Robotics Autom. Lett. 5(2): 3106-3112 (2020) - [c40]Paula Soriano-Segura, Eduardo Iáñez, Vicente Quiles, Laura Ferrero, Mario Ortíz, José Maria Azorín:
Selection of Spatial, Temporal and Frequency Features to Detect Direction Changes During Gait. EMBC 2020: 3835-3838 - [c39]Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, Álvaro Megía, Natalia Comino, Ángel Gil-Agudo, José Maria Azorín:
Usability and acceptance of using a lower-limb exoskeleton controlled by a BMI in incomplete spinal cord injury patients: a case study. EMBC 2020: 4737-4740
2010 – 2019
- 2019
- [j17]A. Costa-García, Eduardo Iáñez, Antonio J. del Ama, Ángel Gil-Agudo, José María Azorín:
EEG model stability and online decoding of attentional demand during gait using gamma band features. Neurocomputing 360: 151-162 (2019) - [j16]María Elvira, Eduardo Iáñez, Vicente Quiles, Mario Ortíz, José Maria Azorín:
Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking. Sensors 19(24): 5444 (2019) - [c38]Shotaro Okajima, Eduardo Iáñez, Hiroshi Yamasaki, Álvaro Costa-García, Fady S. Alnajjar, Noriaki Hattori, Shingo Shimoda:
Quantification of Extent of Muscle-skin Shifting by Traversal sEMG Analysis Using High-density sEMG Sensor. CBS 2019: 272-277 - [c37]Jorge Antonio Gaxiola-Tirado, Eduardo Iáñez, Mario Ortíz, David Gutiérrez, José Maria Azorín:
Effects of an Exoskeleton-Assisted Gait Motor Imagery Training in Functional Brain Connectivity. EMBC 2019: 429-432 - [c36]Jorge Antonio Gaxiola-Tirado, Marisol Rodríguez-Ugarte, Eduardo Iáñez, Mario Ortíz, David Gutiérrez, José María Azorín:
The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery. IWINAC (1) 2019: 3-10 - [c35]Mario Ortíz, Eduardo Iáñez, Jorge Antonio Gaxiola-Tirado, Atilla Kilicarslan, José Luis Contreras-Vidal, José Maria Azorín:
Assessment of motor imagery in gamma band using a lower limb exoskeleton. SMC 2019: 2773-2778 - 2018
- [j15]Maria de la Soledad Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz-García, José Maria Azorín:
Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery. Sensors 18(4): 1136 (2018) - [c34]Mario Ortíz, Marisol Rodriguez-Ugarte, Eduardo Iáñez, José Maria Azorín:
Comparison of different EEG signal analysis techniques for an offline lower limb motor imagery brain-computer interface. EMBC 2018: 203-206 - [c33]Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Novel tDCS montage favors lower limb motor imagery detection. EMBC 2018: 2170-2173 - 2017
- [j14]Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent. Frontiers Neuroinformatics 11: 45 (2017) - [c32]Irma Nayeli Angulo-Sherman, Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Effect on the classification of motor imagery in EEG after applying anodal tDCS with a 4×1 ring montage over the motor cortex. ICORR 2017: 818-822 - [c31]Irma Nayeli Angulo-Sherman, Marisol Rodriguez-Ugarte, Eduardo Iáñez, José Maria Azorín:
Classification of Gait Motor Imagery While Standing Based on Electroencephalographic Bandpower. IWINAC (2) 2017: 61-67 - [c30]Raúl Chapero, Eduardo Iáñez, Marisol Rodriguez-Ugarte, Mario Ortiz, José Maria Azorín:
Using EEG Signals to Detect Different Surfaces While Walking. IWINAC (2) 2017: 109-114 - [c29]Mario Ortíz-García, Eduardo Iáñez, Marisol Rodriguez-Ugarte, José Maria Azorín:
Empirical mode decomposition use in electroencephalography signal analysis for detection of starting and stopping intentions during gait cycle. RO-MAN 2017: 94-100 - 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) - [c28]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 - [c27]Marisol Rodriguez-Ugarte, Álvaro Costa, Eduardo Iáñez, José Maria Azorín:
Analyzing electrode configurations to detect intention of pedaling initiation through EEG signals. SMC 2016: 1614-1619 - 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) - [c26]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 - [c25]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 - [c24]Javier Castillo-Garcia, Enrique Hortal, Teodiano Freire Bastos-Filho, Eduardo Iáñez, Eduardo Caicedo, José Maria Azorín:
Active learning for adaptive brain machine interface based on Software Agent. MED 2015: 44-48 - [c23]Eduardo Iáñez, Álvaro Costa, Elena Ceseracciu, Ester Marquez-Sanchez, Elisa Pinuela-Martin, Guillermo Asin Prieto, Antonio J. del Ama, Ángel Gil-Agudo, Monica Reggiani, José Luis Pons, Juan C. Moreno, José Maria Azorín:
Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities. MED 2015: 143-149 - [c22]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 - [c21]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 - [c20]Shingo Shimoda, Álvaro Costa, Guillermo Asin Prieto, Shotaro Okajima, Eduardo Iáñez, Yasuhisa Hasegawa, José Maria Azorín, José Luis Pons, Juan C. Moreno:
Joint Stiffness Tuning of Exoskeleton Robot H2 by Tacit Learning. Symbiotic 2015: 138-144 - [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) - [c19]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 - [c18]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 - [c17]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 - [c16]Juan C. Moreno, Guillermo Asin Prieto, José Luis Pons Rovira, Heidi Cuypers, Bram Vanderborght, Dirk Lefeber, Elena Ceseracciu, Monica Reggiani, F. Thorsteinsson, Antonio J. del Ama, Ángel Gil-Agudo, Shingo Shimoda, Eduardo Iáñez, José Maria Azorín, Javier O. Roa:
Symbiotic Wearable Robotic Exoskeletons: The Concept of the BioMot Project. Symbiotic 2014: 72-83 - [c15]Daniel Planelles, Enrique Hortal, Álvaro Costa, Eduardo Iáñez, José Maria Azorín:
First steps in the development of an EEG-based system to detect intention of gait initiation. SysCon 2014: 167-171 - 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) - [c14]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 - [c13]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 - [c12]Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José Maria Azorín:
Mental tasks selection method for a SVM-based BCI system. SysCon 2013: 767-771 - [c11]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) - [c10]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
- [c9]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 - [c8]Andrés Úbeda, Eduardo Iáñez, José Maria Azorín:
Mental tasks classification for BCI using image correlation. EMBC 2011: 6303-6306 - [c7]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 - [c6]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) - [c5]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 - [c4]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 - [c3]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
2000 – 2009
- 2009
- [c2]José María Azorín, José Ágel Berná, Eduardo Iáñez:
Nonlinear bilateral control of teleoperators by state convergence. ECC 2009: 2815-2820 - [c1]Eduardo Iáñez, M. Clara Furió, José Maria Azorín, José Alejandro Huizzi, Eduardo Fernández:
Brain-Robot Interface for Controlling a Remote Robot Arm. IWINAC (2) 2009: 353-361
Coauthor Index
aka: José María Azorín
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