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ORCIDMarisol Rodriguez-Ugarte
Person information
- affiliation: Miguel Hernández University of Elche, Spain
- affiliation (former): Imperial College London, UK
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2010 – 2019
- 2019
[c10]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- 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) - [c9]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 - [c8]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) - [c7]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 - [c6]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 - [c5]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 - [c4]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
- [c3]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 - [c2]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 - 2014
- [c1]Marisol Rodriguez-Ugarte, Anastasia Sylaidi, A. Aldo Faisal:
Developing a Novel fMRI-Compatible Motion Tracking System for Haptic Motor Control Experiments. NEUROTECHNIX 2014: 25-30
Coauthor Index
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