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Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?
(Frontiers Media S. A., 2020-07)
[Abstract] Determination of muscle forces during motion can help to understand motor control, assess pathological movement, diagnose neuromuscular disorders, or estimate joint loads. Difficulty of in vivo measurement made ...
Determination of the 3D Human Spine Posture from Wearable Inertial Sensors and a Multibody Model of the Spine
(MDPI, 2022)
[Abstract] Determination of spine posture is of great interest for the effective prevention, evaluation, treatment and evolution monitoring of spinal disorders. Limitations of traditional imaging systems, including cost, ...
Comparison of Several Muscle Modeling Alternatives for Computationally Intensive Algorithms in Human Motion Dynamics
(Springer, 2022-04-05)
[Abstract] Several approaches are currently employed to address the predictive simulation of human motion, having in common their high computational demand. Muscle modeling seems to be an essential ingredient to provide ...
Energy Expenditure Estimation During Crutch-Orthosis-Assisted Gait of a Spinal-Cord-Injured Subject
(Frontiers Media SA, 2019)
[Abstract] Determination of muscle energy expenditure by computer modeling and analysis is of great interest to estimate the whole body energy consumption, while avoiding the complex character of in vivo experimental ...
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
(BioMed Central Ltd., 2021-01)
[Abstract] Experimental studies and EMG collections suggest that a specific strategy of muscle coordination is chosen by the central nervous system to perform a given motor task. A popular mathematical approach for solving ...
Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis
(MDPI, 2021-02)
[Abstract] Optical motion capture is currently the most popular method for acquiring motion data in biomechanical applications. However, it presents a number of problems that make the process difficult and inefficient, ...
Lower Back Injury Prevention and Sensitization of Hip Hinge with Neutral Spine Using Wearable Sensors during Lifting Exercises
(MDPI, 2021-08)
[Abstract] The popularization and industrialization of fitness over the past decade, with the rise of
big box gyms and group classes, has reduced the quality of the basic formation and assessment
of practitioners, which ...
Applying a muscle fatigue model when optimizing load-sharing between muscles for short-duration high-intensity exercise: A preliminary study
(Frontiers, 2023-04)
[Abstract] Introduction: Multiple different mathematical models have been developed to represent muscle force, to represent multiple muscles in the musculoskeletal system, and to represent muscle fatigue. However, incorporating ...
Human motion capture, reconstruction, and musculoskeletal analysis in real time
(Springer, 2023-10-06)
[Abstract] Optical motion capture is an essential tool for the study and analysis of human movement. Currently, most manufacturers of motion-capture systems provide software applications for reconstructing the movement in ...
Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic components
(Lausanne Frontiers Media S.A., 2024-03-11)
[Abstract] Computational muscle force models aim to mathematically represent the mechanics of movement and the factors influencing force generation. These tools allow the prediction of the nonlinear and task-related muscle ...