POD-DEIM reduction of computational EMG models

Abstract

This article presents an application of model order reduction techniques to a numerical model computing electromyographic (EMG) signals. The considered EMG model is a combination of the extracellular bidomain equation with a parameterized nonlinear membrane voltage source. Key ingredients for the proposed reduction methodology are Galerkin projection via proper orthogonal decomposition and application of the discrete empirical interpolation method to the nonlinear source term. The computational efficiency of the approach is demonstrated by numerical examples comparing the reduced model to the full (non-reduced) model. In detail, a high-fidelity model of ≈100000 degrees of freedom is successf..