AI RESEARCH

Estimation of Motor Unit Parameters from Surface Electromyograms using an Informed Autoencoder

arXiv CS.LG

ArXi:2605.07458v1 Announce Type: new Motor unit parameters such as the innervation zone centre or the conduction velocity of the electrical potential harbour the potential to improve the fidelity of neuromechanical models used for movement and force prediction. Determining these parameters in a non-invasive way is challenging, as they are subject-specific and may vary with muscle contraction. Existing work on the estimation of motor unit parameters mainly relies on white-box modelling and therefore requires substantial manual modelling effort.