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A Comparison of Myoelectric Pattern Recognition Methods to Control an Upper Limb Active Exoskeleton., , , and . CIARP (2), volume 8259 of Lecture Notes in Computer Science, page 100-107. Springer, (2013)Towards a Gait Planning Training Strategy Using Lokomat., , , , , , and . CLAWAR (2), volume 811 of Lecture Notes in Networks and Systems, page 357-367. Springer, (2023)Compressive sensing applied to SSVEP-based brain-computer interface in the cloud for online control of a virtual wheelchair., , , , , and . Biomed. Signal Process. Control., (2024)Onset and Peak Pattern Recognition on Photoplethysmographic Signals Using Neural Networks., , , , and . CIARP (1), volume 8258 of Lecture Notes in Computer Science, page 543-550. Springer, (2013)Algorithm for systolic peak detection of pulse wave., , , , and . CLEI, page 1-4. IEEE, (2012)Towards a Brain-Computer Interface Based on Unsupervised Methods to Command a Lower-Limb Robotic Exoskeleton., , and . SMC, page 1099-1104. IEEE, (2018)Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton., , , , , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 637-645. Springer, (2019)CCA-Based Compressive Sensing for SSVEP-Based Brain-Computer Interfaces to Command a Robotic Wheelchair., , , , , and . IEEE Trans. Instrum. Meas., (2022)Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing., , , , , , and . Sensors, 17 (12): 2725 (2017)A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection., , , and . IWAIPR, volume 13055 of Lecture Notes in Computer Science, page 115-123. Springer, (2021)