Javier García Ordóñez of the IT'IS Foundation and ZMT Zurich MedTech AG placed 2nd in the student poster presentation competition at BioEM2023. This year's BioEM meeting was held June 18 – 23 in Oxford, UK. The title of Javier's presentation, co-authored by Taylor H. Newton, Morgane Burkhardt, Antonino M. Cassarà, Niels Kuster, and Esra Neufeld, was Optimizing Therapeutic Neurostimulation: A Generalized Activating Function for Metamodeling.
In Javier's presentation, a Green’s function-based extension to the classical activating function – the generalized activating function (GAF) – is proposed. The GAF improves the predictive accuracy of the stimulation while retaining computational efficiency and linearity. GAF-based predictions of optimal stimulation parameters for individual spinal roots in a spinal cord model were validated against detailed compartment-based electrophysiological simulations, and GAF-based optimizations made with a minimal set of independent electrode contacts in a multifascicular nerve model resulted in superior electrode designs.