RATE OF NOSOCOMIAL MRSA TRANSMISSION EVALUATED VIA CONTACT SCREENING



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 Posts (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 with the cycling environment and learns through trial and error how to modulate the electrical charge applied to

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