A Novel Functional Electrical Stimulation-Induced Cycling Controller Using Reinforcement Learning to Optimize Online Muscle Activation Pattern

This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling.Core to our approach is the introduction of an RL agent that interacts ELP IM Combo Modules with the cycling environment and learns through trial and error how to modulate the electrical ch

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Advances in retinal prosthesis systems

Retinal prosthesis systems have undergone significant advances in the past Pet Care quarter century, resulting in the development of several different novel surgical and engineering approaches.Encouraging results have demonstrated partial visual restoration, with improvement in both coarse objective function and performance of everyday tasks.To dat

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