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Assessing the Involvement of Users During Development of Lower Limb Wearable Robotic Exoskeletons: A Survey Study., , , , , , , and . Hum. Factors, (2020)Adaptation Strategies for Personalized Gait Neuroprosthetics., , , , , , , , , and 11 other author(s). Frontiers Neurorobotics, (2021)SoC Architecture for Acquisition and Processing of EMG Signals., , , , , and . DCIS, page 1-6. IEEE, (2023)EEG model stability and online decoding of attentional demand during gait using gamma band features., , , , and . Neurocomputing, (2019)Adaptive Control for Triadic Human-Robot-FES Collaboration in Gait Rehabilitation: A Pilot Study., , , and . CoRR, (2024)Powering Electronic Implants by High Frequency Volume Conduction: In Human Validation., , , , , , , , and . IEEE Trans. Biomed. Eng., 70 (2): 659-670 (February 2023)Hybrid therapy of walking with Kinesis overground robot for persons with incomplete spinal cord injury: A feasibility study., , , , , and . Robotics Auton. Syst., (2015)Symbiotic Wearable Robotic Exoskeletons: The Concept of the BioMot Project., , , , , , , , , and 5 other author(s). Symbiotic, volume 8820 of Lecture Notes in Computer Science, page 72-83. Springer, (2014)Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities., , , , , , , , , and 2 other author(s). MED, page 143-149. IEEE, (2015)A novel FES control paradigm based on muscle synergies for postural rehabilitation therapy with hybrid exoskeletons., , , , , and . EMBC, page 1868-1871. IEEE, (2012)