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Vicente Quiles
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2020 – today
- 2023
- [c10]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 - 2022
- [c9]Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortíz, José Maria Azorín:
Riemannian classification analysis for model EEG intention speed patterns. EMBC 2022: 402-405 - [c8]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 - [c7]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 - [c6]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
- [j5]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) - [j4]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) - [j3]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) - [j2]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) - [c5]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 - [c4]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 - [c3]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
- [c2]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 - [c1]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
- [j1]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)
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last updated on 2024-08-05 21:16 CEST by the dblp team
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