Luca Modenese

UNSW Sydney — Australia

Engineering · Physical Sciences

32h-index2.9kcitations93works1.92yr avg
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Research Topics

Muscle activation and electromyography studies(47), Total Knee Arthroplasty Outcomes(17), Orthopaedic implants and arthroplasty(15), Lower Extremity Biomechanics and Pathologies(15), Prosthetics and Rehabilitation Robotics(15)

Publications93 total

OpenGRF: Predicting Ground Reaction Forces and Moments During Daily Living Activities in OpenSim
2025Open Access
Hill-Type Models of Skeletal Muscle and Neuromuscular Actuators: A Systematic Review
IEEE Reviews in Biomedical Engineering·2025· 1 citedOpen Access
Generative adversarial networks to create synthetic motion capture datasets including subject and gait characteristics
Journal of Biomechanics·2024· 3 citedOpen Access
Harmonising historical clinical gait analysis data using personalised musculoskeletal models
Gait & Posture·2024
NeuroMechanics: Electrophysiological and computational methods to accurately estimate the neural drive to muscles in humans in vivo
Journal of Electromyography and Kinesiology·2024· 7 citedOpen Access
NeuroMechanics: Electrophysiological and Computational Methods to Accurately Estimate the Neural Drive to Muscles in Humans <i>In Vivo</i>
2024· 1 citedOpen Access
Generative Adversarial Networks to Create Synthetic Motion Capture Datasets Including Subject and Gait Characteristics
SSRN Electronic Journal·2024· 1 citedOpen Access
Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy
PLoS Computational Biology·2023· 20 citedOpen Access
DEEP LEARNING FOR ENLARGING HUMAN MOTION CAPTURE (MOCAP) DATASETS
Orthopaedic Proceedings·2023· 1 cited
Dataset for paper "Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Dataset for paper "Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
The History and Future of Neuromusculoskeletal Biomechanics
Journal of Applied Biomechanics·2023· 13 citedOpen Access
Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units
eNeuro·2023· 39 citedOpen Access
Subtalar joint axis alignments in pathological feet of children with cerebral palsy
Gait & Posture·2023
Subtalar joint moments of children with cerebral palsy
Gait & Posture·2023
Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy
2023· 6 citedOpen Access
Larger and denser: an optimal design for surface grids of EMG electrodes to identify greater and more representative samples of motor units
2023· 18 citedOpen Access
Hill-type models of skeletal muscle and neuromuscular actuators: a systematic review
2022· 19 citedOpen Access
Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling
PLoS Computational Biology·2022· 35 citedOpen Access
Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets
Journal of Biomechanics·2022· 50 citedOpen Access
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Frequent Co-authors

David G. Lloyd(20), Christopher P. Carty(15), Andrew Phillips(14), David J. Saxby(7), Marco Viceconti(7), Claudia Mazzà(7), Sheanna Maine(6), Erica Montefiori(6), Dario Farina(6), Hans Kainz(5), Martina Barzan(5), Arnault H. Caillet(5), Monica Reggiani(4), Adam L. Bryant(4), Pauline Gerus(4), Karine Fortin(4), Tim V. Wrigley(4), Kim L. Bennell(4), Flavia Cicuttini(4), Elena Ceseracciu(3)