Contact mechanics for dynamical systems: a comprehensive review

P Flores - Multibody System Dynamics, 2022 - Springer
This work reviews the main techniques to model dynamical systems with contact-impact
events. Regularized and non-smooth formulations are considered, wherein the fundamental …

On the modeling of biomechanical systems for human movement analysis: a narrative review

I Roupa, MR da Silva, F Marques… - … Methods in Engineering, 2022 - Springer
The rising importance of movement analysis led to the development of more complex
biomechanical models to describe in detail the human motion patterns. The models scaled …

Lower-limb joint torque prediction using LSTM neural networks and transfer learning

L Zhang, D Soselia, R Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation of joint torque during movement provides important information in several
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …

Ten steps to becoming a musculoskeletal simulation expert: a half-century of progress and outlook for the future

SD Uhlrich, TK Uchida, MR Lee, SL Delp - Journal of biomechanics, 2023 - Elsevier
Over the past half-century, musculoskeletal simulations have deepened our knowledge of
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …

Multibody models of the thoracolumbar spine: a review on applications, limitations, and challenges

T Lerchl, K Nispel, T Baum, J Bodden, V Senner… - Bioengineering, 2023 - mdpi.com
Numerical models of the musculoskeletal system as investigative tools are an integral part of
biomechanical and clinical research. While finite element modeling is primarily suitable for …

Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review

M Febrer-Nafría, A Nasr, M Ezati, P Brown… - Multibody System …, 2023 - Springer
Over the past decade, there has been a rapid increase in applications of multibody system
dynamics to the predictive simulation of human movement. Using predictive “what-if” human …

Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics

M Nitschke, E Dorschky, D Heinrich, H Schlarb… - Scientific reports, 2020 - nature.com
Trajectory optimization with musculoskeletal models can be used to reconstruct measured
movements and to predict changes in movements in response to environmental changes. It …

Validation of a patient-specific musculoskeletal model for lumbar load estimation generated by an automated pipeline from whole body CT

T Lerchl, M El Husseini, A Bayat… - … in bioengineering and …, 2022 - frontiersin.org
Background: Chronic back pain is a major health problem worldwide. Although its causes
can be diverse, biomechanical factors leading to spinal degeneration are considered a …

Scalable musculoskeletal model for dynamic simulations of upper body movement

A Nasr, A Hashemi, J McPhee - Computer methods in …, 2024 - Taylor & Francis
A musculoskeletal (MSK) model is a valuable tool for assessing complex biomechanical
problems, estimating joint torques during motion, optimizing motion in sports, and designing …

Ankle joint torque prediction using an NMS solver informed-ANN model and transfer learning

L Zhang, X Zhu, EM Gutierrez-Farewik… - IEEE journal of …, 2022 - ieeexplore.ieee.org
In this work, we predicted ankle joint torque by combining a neuromusculoskeletal (NMS)
solver-informed artificial neural network (hybrid-ANN) model with transfer learning based on …