Fused ultrasound and electromyography-driven neuromuscular model to improve plantarflexion moment prediction across walking speeds.
Qiang ZhangNatalie FragnitoJason R FranzNitin SharmaPublished in: Journal of neuroengineering and rehabilitation (2022)
The proposed sEMG-US imaging-driven HNM can significantly improve the net plantarflexion moment prediction accuracy across multiple walking speeds. The findings imply that the proposed HNM can be potentially used in bio-inspired control strategies for rehabilitative devices due to its superior prediction.