Roman Genov

This paper demonstrates closed-loop control of functional electrical stimulation using a CNN to classify nerve cuff recordings and trigger stimulation based on detected hindpaw states.

The paper develops resource-efficient neural network architectures for classifying nerve cuff recordings, achieving significant reductions in weights, memory, and FLOPs while maintaining comparable accuracy.