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ORCIDMario Ortíz 0001
Person information
- affiliation: Miguel Hernández University of Elche, Spain
Other persons with the same name
- Mario Ortíz 0002 — University of Lorraine, Nancy, France
- Mario Ortiz 0003 — Catholic University of Uruguay, Department of Engineering, Uruguay,
Other persons with a similar name
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2020 – today
- 2024
[j14]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)- [j13]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) - [c22]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
- [j12]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) - [c21]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 - [c20]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 - [c19]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
- [c18]Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Riemannian classification analysis for model EEG intention speed patterns. EMBC 2022: 402-405 - [c17]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 - [c16]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 - [c15]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 - [c14]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
- [j11]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) - [j10]Mario Ortíz, Pablo Vicente, Eduardo Iáñez, E. Montiel, José Maria Azorín:
Assessing Footwear Comfort by Electroencephalography Analysis. IEEE Access 9: 134259-134269 (2021) - [j9]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) - [j8]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) - [j7]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) - [c13]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 - [c12]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 - [c11]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
- [j6]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) - [j5]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) - [j4]Pedro Juan Martínez, Francisco Javier Aguilar, Mario Ortíz:
Transitioning From Face-to-Face to Blended and Full Online Learning Engineering Master's Program. IEEE Trans. Educ. 63(1): 2-9 (2020) - [c10]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 - [c9]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
- [j3]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) - [c8]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 - [c7]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 - [c6]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
- [j2]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) - [c5]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 - [c4]Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Novel tDCS montage favors lower limb motor imagery detection. EMBC 2018: 2170-2173 - 2017
- [j1]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) - [c3]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 - [c2]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 - [c1]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
Coauthor Index
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