Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait
Locomotion results from complex interactions between the central nervous system and the
musculoskeletal system with its many degrees of freedom and muscles. Gaining insight into …
musculoskeletal system with its many degrees of freedom and muscles. Gaining insight into …
Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …
[HTML][HTML] Osteoarthritis year in review 2023: biomechanics
Biomechanics plays a significant yet complex role in osteoarthritis (OA) onset and
progression. Identifying alterations in biomechanical factors and their complex interactions is …
progression. Identifying alterations in biomechanical factors and their complex interactions is …
Optimizing Membership Function Tuning for Fuzzy Control of Robotic Manipulators Using PID-Driven Data Techniques
In this study, a method for optimizing membership function tuning for fuzzy control of robotic
manipulators using PID-driven data techniques is presented. Traditional approaches for …
manipulators using PID-driven data techniques is presented. Traditional approaches for …
The role of multifidus in the biomechanics of lumbar spine: a musculoskeletal modeling study
K Wang, Z Deng, X Chen, J Shao, L Qiu, C Jiang… - Bioengineering, 2023 - mdpi.com
Background: The role of multifidus in the biomechanics of lumbar spine remained unclear.
Purpose: This study aimed to investigate the role of multifidus in the modeling of lumbar …
Purpose: This study aimed to investigate the role of multifidus in the modeling of lumbar …
Continuous prediction of human joint mechanics using emg signals: A review of model-based and model-free approaches
SP Sitole, FC Sup - IEEE Transactions on Medical Robotics …, 2023 - ieeexplore.ieee.org
This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …
human joint motion using surface electromyography (EMG) signals. The review focuses on …
Ten steps to becoming a musculoskeletal simulation expert: a half-century of progress and outlook for the future
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 …
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …
Challenges and advances in the use of wearable sensors for lower extremity biomechanics
The use of wearable sensors for the collection of lower extremity biomechanical data is
increasing in popularity, in part due to the ease of collecting data and the ability to capture …
increasing in popularity, in part due to the ease of collecting data and the ability to capture …
Muscle-controlled physics simulations of bird locomotion resolve the grounded running paradox
Humans and birds use very different running styles. Unlike humans, birds adopt “grounded
running” at intermediate speeds—a running gait where at least one foot always maintains …
running” at intermediate speeds—a running gait where at least one foot always maintains …
A review of the efforts to develop muscle and musculoskeletal models for biomechanics in the last 50 years
Both the Hill and the Huxley muscle models had already been described by the time the
International Society of Biomechanics was founded 50 years ago, but had seen little use …
International Society of Biomechanics was founded 50 years ago, but had seen little use …