[1] A Compact Smoothing-Differentiation and Projection Approach for the Kinematic Data Consistency of Biomechanical Systems
F.J. Alonso, J. Cuadrado, U. Lugris, P. Pintado
Multibody System Dynamics, vol. 24, no. 1, pp. 67-80, 2010.
[2] A Simple Approach To Estimate Muscle Forces and Orthosis Actuation in Powered Assisted Walking of Spinal Cord-Injured Subjects
J. Alonso, F. Romero, R. Pamies-Vila, U. Lugris, J.M. Font-Llagunes
Multibody System Dynamics, vol. 28, no. 1-2, pp. 109-124, 2012.
[3] Analysis of Different Uncertainties in the Inverse Dynamic Analysis of Human Gait
R. Pamies-Vila, J.M. Font-Llagunes, J. Cuadrado, F.J. Alonso
Mechanism and Machine Theory, vol. 58, pp. 153-164, 2012.
[4] Solution Methods for the Double-Support Indeterminacy in Human Gait
U. Lugris, J. Carlin, R. Pamies-Vila, J.M. Font-Llagunes, J. Cuadrado
Multibody System Dynamics, vol. 30, no. 3, pp. 247-263, 2013.
[5] Gait Analysis System for Spinal Cord-injured Subjects Assisted by Active Orthoses and Crutches
U. Lugris, J. Carlin, A. Luaces, J. Cuadrado
Journal of Multi-body Dynamics, vol. 227, no. 4, pp. 363-374, 2013.
[6] Parameter Identification Method for a Three-dimensional Foot-ground Contact Model
R. Pamies-Vila, J.M. Font-Llagunes, U. Lugris, J. Cuadrado
Mechanism and Machine Theory, vol. 75, pp. 107-116, 2014.
[7] Estimation of Muscular Forces from SSA Smoothed sEMG Signals Calibrated by Inverse Dynamics-based Physiological Static Optimization
F. Romero, F.J. Alonso, C. Gragera, U. Lugris, J.M. Font-Llagunes
Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 38, pp. 2213-2223, 2016.
[8] Skeletal-level Control-based Forward Dynamic Analysis of Acquired Healthy and Assisted Gait Motion
F. Mouzo, U. Lugris, R. Pamies-Vila, J. Cuadrado
Multibody System Dynamics, vol. 44, no. 1, pp. 1-29, 2018.
[9] Energy Expenditure Estimation During Crutch-Orthosis-Assisted Gait of a Spinal-Cord-Injured Subject
F. Michaud, F. Mouzo, U. Lugris, J. Cuadrado
Frontiers in Neurorobotics, vol. 13, article 55, 11 pages, 2019.
[10] Design, Control, and Pilot Study of a Lightweight and Modular Exoskeleton for Walking Assistance After Spinal Cord Injury
J.M. Font-Llagunes, U. Lugris, D. Clos, F.J. Alonso, J. Cuadrado
Journal of Mechanisms and Robotics, vol. 12, no. 3, 031008, 8 pages, 2020.
[11] Leg-orthosis Contact Force Estimation from Gait Analysis
F. Mouzo, F. Michaud, U. Lugris, J. Cuadrado
Mechanism and Machine Theory, vol. 148, 103800, 13 pages, 2020.
[12] Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?
F. Michaud, M.S. Shourijeh, B.J. Fregly, J. Cuadrado
Frontiers in Computational Neuroscience, vol. 14, article 54, 12 pages, 2020.
[13] A Procedure to Define Customized Musculoskeletal Models for the Analysis of the Crutch-Orthosis-Assisted Gait of Spinal Cord Injured Subjects
F. Michaud, U. Lugris, J. Cuadrado, A. Kecskemethy, Y. Ou
Journal of Biomechanical Engineering, vol. 142, no. 12, 121013, 8 pages, 2020.
[14] Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis
J. Cuadrado, F. Michaud, U. Lugris, M. Perez Soto
Sensors, vol. 21, no. 2, article 427, 22 pages, 2021.
[15] A Fair and EMG-validated Comparison of Recruitment Criteria, Musculotendon Models and Muscle Coordination Strategies, for the Inverse-dynamics Based Optimization of Muscle Forces During Gait
F. Michaud, M. Lamas, U. Lugris, J. Cuadrado
Journal of NeuroEngineering and Rehabilitation, vol. 18, article 17, 15 pages, 2021.
[16] Lower Back Injury Prevention and Sensitization of Hip Hinge with Neutral Spine Using Wearable Sensors during Lifting Exercises
F. Michaud, M. Perez Soto, U. Lugris, J. Cuadrado
Sensors, vol. 21, no. 16, article 5487, 16 pages, 2021.
[17] Comparison of Several Muscle Modeling Alternatives for Computationally Intensive Algorithms in Human Motion Dynamics
M. Lamas, F. Mouzo, F. Michaud, U. Lugris, J. Cuadrado
Multibody System Dynamics, vol. 54, no. 4, pp. 415-442, 2022
[18] Determination of the 3D Human Spine Posture from Wearable Inertial Sensors and a Multibody Model of the Spine
F. Michaud, U. Lugris, J. Cuadrado
Sensors, vol. 22, no. 13, article 4796, 12 pages, 2022.
[19] Applying a Muscle Fatigue Model when Optimizing Load-sharing between Muscles for Short-duration High-intensity Exercise: A Preliminary Study
F. Michaud, L.A. Frey-Law, U. Lugris, L. Cuadrado, J. Figueroa-Rodriguez, J. Cuadrado
Frontiers in Physiology, vol. 14, article 1167748, 16 pages, 2023.
[20] The Use of Wearable Inertial Sensors and Workplace-Based Exercises to Reduce Lateral Epicondylitis in the Workstation of a Textile Logistics Center
F. Michaud, R. Pazos, U. Lugris, J. Cuadrado
Sensors, vol. 23, no. 11, article 5166, 16 pages, 2023.
[21] Human Motion Capture, Reconstruction, and Musculoskeletal Analysis in Real Time
U. Lugris, M. Perez-Soto, F. Michaud, J. Cuadrado
Multibody System Dynamics, vol. 60, no. 1, pp. 3-25, 2024.
[22] Four-compartment Muscle Fatigue Model to Predict Metabolic Inhibition and Long-lasting Nonmetabolic Components
F. Michaud, S. Beron, U. Lugris, J. Cuadrado
Frontiers in Physiology, vol. 15, article 1366172, 11 pages, 2024.
[23] Use of Patellofemoral Digital Twins for Patellar Tracking and Treatment Prediction: Comparison of 3D Models and Contact Detection Algorithms
F. Michaud, A. Luaces, F. Mouzo, J. Cuadrado
Frontiers in Bioengineering and Biotechnology, vol. 12, article 1347720, 13 pages, 2024.
[24] A Sensorized 3D-Printed Knee Test Rig for Preliminary Experimental Validation of Patellar Tracking and Contact Simulation
F. Michaud, F. Mouzo, D. Dopico, J. Cuadrado
Sensors, vol. 24, no. 10, article 3042, 18 pages, 2024.