Marisol Rodriguez-Ugarte

Publication Activity (10 Years)

Years Active: 2014-2018
Publications (10 Years): 9

Top Topics

Empirical Mode Decomposition

Epileptic Seizures

Signal Analysis

Top Venues

Frontiers Neuroinformatics

Publications

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)
Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín
Novel tDCS montage favors lower limb motor imagery detection. EMBC (2018)
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)
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)
Raúl Chapero, Eduardo Iáñez, Marisol Rodriguez-Ugarte, Mario Ortíz, José Maria Azorín
Using EEG Signals to Detect Different Surfaces While Walking. IWINAC (2) (2017)
Marisol Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortíz, José Maria Azorín
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent. Frontiers Neuroinformatics 11 (2017)
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)
Marisol Rodriguez-Ugarte, Álvaro Costa, Eduardo Iáñez, José Maria Azorín
Analyzing electrode configurations to detect intention of pedaling initiation through EEG signals. SMC (2016)
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)
Marisol Rodriguez-Ugarte, Anastasia Sylaidi, A. Aldo Faisal
Developing a Novel fMRI-Compatible Motion Tracking System for Haptic Motor Control Experiments. NEUROTECHNIX (2014)