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On the Brain Computer Robot Interface (BCRI) to Control Robots., , , , , and . SyRoCo, volume 48 of IFAC-PapersOnline, page 154-159. International Federation of Automatic Control, (2015)Modeling and control of exoskeleton for wrist and forearm rehabilitation., , , , and . Biomed. Signal Process. Control., (2021)On the Prediction of In Vitro Arginine Glycation of Short Peptides Using Artificial Neural Networks., , , , and . Sensors, 22 (14): 5237 (2022)EEG-Based Drivers Mental Fatigue Detection Using ERD/ERS and Hurst Exponent., , , , , , and . ICMHI, page 159-162. ACM, (2022)Characterization of Kinesthetic Motor Imagery paradigm for wrist and forearm using an algorithm based on the Hurst Exponent and Variogram., , , , , and . SMC, page 3683-3688. IEEE, (2020)Sustained attention variation monitoring through EEG effective connectivity., , , and . Biomed. Signal Process. Control., (2022)Hand Inertial Parameters Calculation for any Position Through the Kinematic Model., , , and . SSCI, page 1049-1053. IEEE, (2023)EEG-motor sequencing signals for online command of dynamic robots., , and . BCI, page 1-4. IEEE, (2015)EMG Classification of Hand and Wrist Force Tasks Using Fractal Algorithms., , , , , , , , and . SSCI, page 1054-1059. IEEE, (2023)