Purpose: Wearable lower-limb robotic exoskeletons have emerged as promising tools for locomotor training in individuals with spinal cord injury (SCI). However, their bulky size, high cost, and limited usability hinder widespread acceptance. User-centered methods identifying end-users' unique insights are key to meet their specific challenges.
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September 2024
IEEE Trans Neural Syst Rehabil Eng
August 2023
Studies on robotic interventions for gait rehabilitation after stroke require: (i) rigorous performance evidence; (ii) systematic procedures to tune the control parameters; and (iii) combination of control modes. In this study, we investigated how stroke individuals responded to training for two weeks with a knee exoskeleton (ABLE-KS) using both Assistance and Resistance training modes together with auditory feedback to train peak knee flexion angle. During the training, the torque provided by the ABLE-KS and the biofeedback were systematically adapted based on the subject's performance and perceived exertion level.
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