Luca Modenese

This study uses predictive simulations to show that joint loading in lower limbs with torsional deformities is overestimated without considering gait adaptations.

This paper develops and validates a multiscale Hill-type neuromuscular actuator against experimental benchmarks of motor unit and muscle force measurements, showing improved accuracy in force reproduction.

This paper introduces a reduced-order multibody model of the foot and ankle complex using kinematic synergies, achieving high accuracy in reconstructing bone-level kinematics with fewer markers.

OpenGRF estimates ground reaction forces and moments from kinematics in OpenSim, achieving high accuracy for vertical forces and ankle moments but lower accuracy for medio-lateral forces and free moments.

This paper reviews Hill-type muscle models, finding most lack innovation, proper validation, parameter identification, and reusability.

The paper describes new electrophysiological and computational methods to accurately estimate neural drive to muscles in humans in vivo by improving MU sampling and using data augmentation.

This paper shows that larger and denser EMG electrode grids improve the identification of more representative motor unit samples through computational and experimental analysis.

The paper proposes a method combining EMG signal decomposition and realistic motoneuron modeling to estimate the firing behavior of entire motoneuron pools in humans.

The paper derives mathematical relationships between electrophysiological and anatomical properties of spinal alpha-motoneurons across species, validating existing theories and providing a tool for modeling and experimental analysis.