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International Journal for Numerical Methods in Biomedical Engineering
|
April 9, 2021
A factorization-based algorithm to predict EMG data using only kinematics information
Marta Manzano, Gil Serrancolí
International Journal for Numerical Methods in Biomedical Engineering
|
February 23, 2026
Reducing Complexity in Muscle-Tendon Kinematics Parameterization Improves Convergence Speed in Musculoskeletal Simulations
Mohanad Harba, Joan Badia, Gil Serrancolí
International Journal of Molecular Sciences
|
March 6, 2021
The Effects of Mechanical Scale on Neural Control and the Regulation of Joint Stability
Gil Serrancolí, Cristiano Alessandro, Matthew C Tresch
Journal of Biomechanics
|
March 16, 2025
Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling
Juan Cordero-Sánchez, Rodrigo Bini, Gil Serrancolí
Medical Engineering & Physics
|
October 21, 2020
Influence of musculoskeletal model parameter values on prediction of accurate knee contact forces during walking
Gil Serrancolí, Allison L Kinney, Benjamin J Fregly
Frontiers in Neuroscience
|
August 23, 2024
Editorial: Advances in the neuromusculoskeletal modeling of injuries, diseases, and clinical treatments
Florian Michaud, Gil Serrancolí, Carlos Quental, et al.
Frontiers in Physiology
|
May 2, 2024
Optimal fibre length and maximum isometric force are the most influential parameters when modelling muscular adaptations to unloading using Hill-type muscle models
James Cowburn, Gil Serrancolí, Steffi Colyer, et al.
Clinical Biomechanics (Bristol, Avon)
|
October 24, 2015
Analysis of muscle synergies and activation-deactivation patterns in subjects with anterior cruciate ligament deficiency during walking
Gil Serrancolí, Joan C Monllau, Josep M Font-Llagunes
Plos One
|
October 18, 2019
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Antoine Falisse, Gil Serrancolí, Christopher L Dembia, et al.
Journal of Applied Biomechanics
|
April 9, 2025
Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach
Juan Cordero-Sánchez, Bruno Bazuelo-Ruiz, Pedro Pérez-Soriano, et al.
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of 3
Search research articles
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Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
International Journal for Numerical Methods in Biomedical Engineering
|
April 9, 2021
A factorization-based algorithm to predict EMG data using only kinematics information
Marta Manzano, Gil Serrancolí
International Journal for Numerical Methods in Biomedical Engineering
|
February 23, 2026
Reducing Complexity in Muscle-Tendon Kinematics Parameterization Improves Convergence Speed in Musculoskeletal Simulations
Mohanad Harba, Joan Badia, Gil Serrancolí
International Journal of Molecular Sciences
|
March 6, 2021
The Effects of Mechanical Scale on Neural Control and the Regulation of Joint Stability
Gil Serrancolí, Cristiano Alessandro, Matthew C Tresch
Journal of Biomechanics
|
March 16, 2025
Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling
Juan Cordero-Sánchez, Rodrigo Bini, Gil Serrancolí
Medical Engineering & Physics
|
October 21, 2020
Influence of musculoskeletal model parameter values on prediction of accurate knee contact forces during walking
Gil Serrancolí, Allison L Kinney, Benjamin J Fregly
Frontiers in Neuroscience
|
August 23, 2024
Editorial: Advances in the neuromusculoskeletal modeling of injuries, diseases, and clinical treatments
Florian Michaud, Gil Serrancolí, Carlos Quental, et al.
Frontiers in Physiology
|
May 2, 2024
Optimal fibre length and maximum isometric force are the most influential parameters when modelling muscular adaptations to unloading using Hill-type muscle models
James Cowburn, Gil Serrancolí, Steffi Colyer, et al.
Clinical Biomechanics (Bristol, Avon)
|
October 24, 2015
Analysis of muscle synergies and activation-deactivation patterns in subjects with anterior cruciate ligament deficiency during walking
Gil Serrancolí, Joan C Monllau, Josep M Font-Llagunes
Plos One
|
October 18, 2019
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Antoine Falisse, Gil Serrancolí, Christopher L Dembia, et al.
Journal of Applied Biomechanics
|
April 9, 2025
Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach
Juan Cordero-Sánchez, Bruno Bazuelo-Ruiz, Pedro Pérez-Soriano, et al.
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of 3