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 …

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 …

The generation of personalised and patient-specific musculoskeletal models is currently a
cumbersome and time-consuming task that normally requires several processing hours and …

Background Musculoskeletal modelling is used to assess musculoskeletal loading during
gait. Linear scaling methods are used to personalize generic models to each participant's …

The ultimate goal of most neuromusculoskeletal modeling research is to improve the
treatment of movement impairments. However, even though neuromusculoskeletal models …

The arrangement and physiology of muscle fibres can strongly influence musculoskeletal
function and whole-organismal performance. However, experimental investigation of muscle …

Locomotion results from the interactions of highly nonlinear neural and biomechanical
dynamics. Accordingly, understanding gait dynamics across behavioral conditions and …

The first years of life represent an important phase of maturation of the central nervous
system, processing of sensory information, posture control and acquisition of the locomotor …

Human gait optimality has been investigated recently, with the development of detailed
musculoskeletal models, through trajectory optimization approaches or deep reinforcement …

Gait asymmetry and skeletal deformities are common in many children with cerebral palsy
(CP). Changes of the hip joint loading, ie hip joint contact force (HJCF), can lead to …