EEG signal classification using time-varying autoregressive models and common spatial patterns. - David Gutiérrez; Rocio Salazar-Varas (EMBC, 2011)

Using eigenstructure decompositions of time-varying autoregressions in common spatial patterns-based EEG signal classification. - David Gutiérrez; Rocio Salazar-Varas (Biomed. Signal Process. Control., 2012)

Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation. - Enrique Hortal; Ester Marquez-Sanchez; Álvaro Costa 001; Elisa Pinuela-Martin; Rocio Salazar-Varas; Soraya Pérez-Nombela; Antonio J. del Ama; Ángel Gil-Agudo; José Maria Azorín (IROS, 2015)

Changes in brain activity due to the sudden apparition of an obstacle during gait. - Rocio Salazar-Varas; Álvaro Costa 001; Andrés Úbeda; Eduardo Iáñez; José María Azorín (NER, 2015)

Feature extraction for multi-class BCI using EEG coherence. - Rocio Salazar-Varas; David Gutiérrez (NER, 2015)

Online detection of horizontal hand movements from low frequency EEG components. - Andrés Úbeda; Enrique Hortal; Javier Alarcon; Rocio Salazar-Varas; Antonio Sánchez; José Maria Azorín (NER, 2015)

Studying Cognitive Attention Mechanisms during Walking from EEG Signals. - Álvaro Costa 001; Rocio Salazar-Varas; Eduardo Iáñez; Andrés Úbeda; Enrique Hortal; José Maria Azorín (SMC, 2015)

An optimized feature selection and classification method for using electroencephalographic coherence in brain-computer interfaces. - Rocio Salazar-Varas; David Gutiérrez (Biomed. Signal Process. Control., 2015)

Time-Invariant EEG Classification Based on the Fractal Dimension. - Rocio Salazar-Varas; Roberto Antonio Vázquez (MICAI (2), 2017)

Classification of EEG signals using fractal dimension features and artificial neural networks. - Roberto Antonio Vázquez; Rocio Salazar-Varas (SSCI, 2017)

EEG Channel Selection using Fractal Dimension and Artificial Bee Colony Algorithm. - Beatriz A. Garro; Rocio Salazar-Varas; Roberto Antonio Vázquez (SSCI, 2018)

Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions. - Rocio Salazar-Varas; Roberto Antonio Vázquez (Appl. Soft Comput., 2018)

Using the Partial Directed Coherence to Assess Functional Connectivity in Electroencephalography Data for Brain-Computer Interfaces. - Jorge Antonio Gaxiola-Tirado; Rocio Salazar-Varas; David Gutiérrez (IEEE Trans. Cogn. Dev. Syst., 2018)

Evaluating the effect of the cutoff frequencies during the pre-processing stage of motor imagery EEG signals classification. - Rocio Salazar-Varas; Roberto Antonio Vázquez (Biomed. Signal Process. Control., 2019)

Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies. - Rocio Salazar-Varas; Roberto Antonio Vázquez (Comput. Intell. Neurosci., 2019)

Person Authentication Based on Standard Deviation of EEG Signals and Bayesian Classifier. - D. Farias-Castro; Rocio Salazar-Varas (MICAI (2), 2020)