S. Tahmid

Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability.

A deep learning-based framework is proposed to investigate the feasibility of learning generalizable inter-muscular activation relationships using sEMG alone and demonstrate the feasibility and benefits of using deep learning for scalable, non-invasive and simultaneous prediction of muscle activation patterns for super...