The AMI is a limb amputation technique which aims to maintain the mechanical and neural feedback between agonist and antagonist muscle. We aim to develop a platform for in silico analysis which can provide insight to surgeons. For that we combine detailed multi-physics multi-scale simulations with surrogate models for optimization.
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Replication Data for: A partitioned coupling approach for electromechanics simulations of skeletal muscles using FEBio
Aug 6, 2026
Homs-Pons, Carme; Villota, Yesid; Doreti, Lalith Kumar; Klink, Marian; Lautenschlager, Robin; Göddeke, Dominik; Schulte, Miriam; Röhrle, Oliver, 2026, "Replication Data for: A partitioned coupling approach for electromechanics simulations of skeletal muscles using FEBio", https://doi.org/10.18419/DARUS-6125, DaRUS, V2
This dataset contains all setup files and instructions to reproduce the experiments in "A partitioned coupling approach for electromechanics simulations of skeletal muscles using FEBio". In particular, we provide all the input files required to run simulations of muscle contraction using the OpenDiHu and FEBio mechanics solvers. The mechanics solve...
Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models
Feb 26, 2024
Homs Pons, Carme; Lautenschlager, Robin, 2024, "Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models", https://doi.org/10.18419/DARUS-4031, DaRUS, V1
This dataset allows to reproduce the results from the paper "Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models" submitted to GAMM Mitteilungen in September 2023. Find more information about the structure of the dataset and the steps to reproduce the results in the readme.md file.
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