Real Time Foot Drop Correction using Machine Learning and Natural Sensors

The objective of this study was to investigate and test a real time system implemented for Functional Electrical Stimulation (FES) assisted foot drop correction, deriving control timing from signals recorded from a peripheral sensory nerve.

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