Durán-Santos, M., Salazar-Varas, R. and Etcheverry, G. “Modeling the cortical response elicited by wrist manipulation via a nonlinear delay differential embedding”. Physical and Engineering Sciences in Medicine, vol. 47, pp. 1–14 (2024). https://doi.org/10.1007/s13246-024-01427-8
Peralta-Malváez, L., Salazar-Varas, R., Etcheverry, G., Gutiérrez, D., “Using data assimilation for quantitative electroencephalography analysis”, Brain Sciences, 10(11), pp. 1–18, 853, 2020,
Salazar-Varas, R., and Vazquez, R.A., “Evaluating the effect of the cutoff frequencies during the pre-processing stage of motor imagery EEG signals classification”, Biomedical Signal Processing and Control, vol. 54, 2019. DOI: 10.1016/j.bspc.2019.101592
Salazar-Varas, R., and Vazquez, R.A., “Facing high EEG signals variability during classification using fractal dimension and different cutoff frequencies”, Computational Intelligence and Neuroscience, 2019. DOI: 10.1155/2019/9174307
Salazar-Varas, R., and Vazquez, R.A., “Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions”, Applied Soft Computing, vol. 67, pp 232-244, 2018, DOI: 10.1016/j.asoc.2018.02.054
J. A. Gaxiola-Tirado, R. Salazar-Varas, and D. Gutiérrez, "Using the partial directed coherence to assess functional connectivity in electroencephalographic data for brain-computer interfaces," IEEE Transactions on Cognitive and Developmental Systems, 2018. DOI: 10.1109/TCDS.2017.2777180
A. Costa, R. Salazar-Varas, A. Úbeda, and J. M. Azorín. “Characterization of Artifacts produced by gel displacement on non-invasive Brain-Machine Interfaces during ambulation”, Frontiers in Neuroscience, vol. 10, p. 60., 2016. DOI: 10.3389/fnins.2016.00060
R. Salazar-Varas, Á. Costa, Enrique Hortal, E Iáñez, A. Úbeda and J. M. Azorín, “Analyzing EEG signals to detect unexpected obstacles during walking”, Journal of neuroengineering and rehabilitation. vol. 12, no 1, p. 101., 2015 DOI 10.1186/s12984-015-0095-4
R. Salazar-Varas and D. Gutiérrez, "An Optimized Feature Selection and Classification Method for Using Electroencephalographic Coherence in Brain-Computer Interfaces," Biomedical Signal Processing and Control, vol. 18, pp. 11-18, 2015. DOI: 10.1016/j.bspc.2014.11.001
D. Gutiérrez and R. Salazar-Varas, "Using Eigenstructure Decomposition of Time- Varying Autoregressions in Common Spatial Patterns-Based EEG Signal Classification," Biomedical Signal Processing and Control, vol. 7, no. 6, pp. 622-631, 2012. DOI: 0.1016/j.bspc.2012.03.004
D. Farias-Castro, y R. Salazar-Varas, "Person Authentication Based on Standard Deviation of EEG Signals and Bayesian Classifier" en Advances in Computational Intelligence, 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Ciudad de México, México, Octubre 2020
B. A. Garro, R. Salazar-Varas, y R. A. Vazquez, “EEG Channel Selection using Fractal Dimension and Artificial Bee Colony Algorithm” en Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, (SSCI 2018), Bangalore, India, India, Noviembre 2018.
R. A. Vazquez, y R. Salazar-Varas, “Classification of EEG signals using fractal dimension features and artificial neural networks”, en 2017 IEEE Symposium Series on Computational Intelligence, (SSCI 2017), Hilton Hawaiian Village ResortHonolulu; United States; Noviembre 2017.
R. Salazar-Varas, y R.A. Vazquez, “Time-invariant EEG classification based on the fractal dimension”, en 2018 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Enseneda; Mexico, Octubre 2017.
Á. Costa, R. Salazar-Varas, E. Iáñez, A. Úbeda, E. Hortal, y J.M. Azorín. “Studying cognitive attention mechanisms during walking from EEG signals”. en IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Special Session on “Robotic Exoskeletons with Bioinspired Skills”, Hong Kong, Octubre 2015.
R. Salazar-Varas y D. Gutiérrez, "Feature Extraction for Multi-class BCI using EEG coherence," en Proceedings of the 7th International IEEE EMBS Neural Engineering Conference, Montpellier, Francia, Abril 2015, pp. 94-97.
R. Salazar-Varas, Á. Costa, A. Úbeda, E. Iáñez y J.M. Azorín, "Changes in brain activity due to the sudden apparition of an obstacle during gait," en Proceedings of the 7th International IEEE EMBS Neural Engineering Conference, Montpellier, Francia, Abril 2015, pp. 110-113.
A. Úbeda, E. Hortal, J. Alarcón, R. Salazar-Varas, A. Sánchez, y J.M. Azorín. “Online detection of horizontal hand movements from low frequency EEG components”. en Proceedings of 7th International IEEE EMBS Neural Engineering Conference. IEEE, Montpellier, Francia, Abril 2015, pp. 214-217.
D. Gutiérrez y Rocio Salazar-Varas, "EEG Signal Classification Using Time-Varying Autoregressive Models and Common Spatial Patterns," en Proceedings of the 33th Annual IEEE/EMBS International Conference, Boston, Massachusetts, EUA, 2011, pp. 6585-6588. DOI: 10.1109/IEMBS.2011.6091624.
Angulo-Sherman I.N. and Salazar-Varas R. (2023) Recent Applications of BCIs in Kacprzyk J., Intelligent Systems Reference Library, 244, pp. 173 - 197, Springer.
Angulo-Sherman I.N., Costa-García A., Monge-Pereira E., Salazar-Varas R., Zerafa R. (2016) BCI Applied to Neurorehabilitation. In: Pons J., Raya R., González J. (eds) Emerging Therapies in Neurorehabilitation II. Biosystems & Biorobotics, vol 10. Springer, Cham