A review of simulation methods for human movement dynamics with emphasis on gait

M Ezati, B Ghannadi, J McPhee - Multibody System Dynamics, 2019 - Springer
Human gait analysis is a complex problem in biomechanics because of highly nonlinear
human motion equations, muscle dynamics, and foot-ground contact. Despite a large …

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 …

Muscle synergies facilitate computational prediction of subject-specific walking motions

AJ Meyer, I Eskinazi, JN Jackson, AV Rao… - … in bioengineering and …, 2016 - frontiersin.org
Researchers have explored a variety of neurorehabilitation approaches to restore normal
walking function following a stroke. However, there is currently no objective means for …

A conceptual blueprint for making neuromusculoskeletal models clinically useful

BJ Fregly - Applied Sciences, 2021 - mdpi.com
The ultimate goal of most neuromusculoskeletal modeling research is to improve the
treatment of movement impairments. However, even though neuromusculoskeletal models …

A forward-inverse dynamics modeling framework for human musculoskeletal multibody system

X Wang, J Guo, Q Tian - Acta Mechanica Sinica, 2022 - Springer
Multibody musculoskeletal modeling of human gait has been proved helpful in investigating
the pathology of musculoskeletal disorders. However, conventional inverse dynamics …

Feedback control of functional electrical stimulation for 2-D arm reaching movements

RS Razavian, B Ghannadi, N Mehrabi… - … on Neural Systems …, 2018 - ieeexplore.ieee.org
Functional electrical stimulation (FES) can be used as a neuroprosthesis in which muscles
are stimulated by electrical pulses to compensate for the loss of voluntary movement control …

Motion learning and generalization of musculoskeletal robot using gain primitives

S Zhong, W Wu - IEEE Transactions on Automation Science …, 2023 - ieeexplore.ieee.org
Organisms have an innate ability to rapidly produce diverse and flexible movement.
Biological motor systems are composed of highly redundant muscle actuators and have …

Modeling musculoskeletal kinematic and dynamic redundancy using null space projection

D Stanev, K Moustakas - PloS one, 2019 - journals.plos.org
The coordination of the human musculoskeletal system is deeply influenced by its redundant
structure, in both kinematic and dynamic terms. Noticing a lack of a relevant, thorough …

Reducing redundancy of musculoskeletal robot with convex hull vertexes selection

S Zhong, J Chen, X Niu, H Fu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
It has been a long-term dream of roboticist to create a robot that has similar behavior and
appearance to human. With highly redundant joints and actuators, the musculoskeletal …

Predictive simulation of reaching moving targets using nonlinear model predictive control

N Mehrabi, R Sharif Razavian, B Ghannadi… - Frontiers in …, 2017 - frontiersin.org
This article investigates the application of optimal feedback control to trajectory planning in
voluntary human arm movements. A nonlinear model predictive controller (NMPC) with a …