Computational models of musculoskeletal systems are essential tools for understanding
how muscles, tendons, bones, and actuation signals generate motion. In particular, the …

Objective: In this study, a novel hybrid predictive musculoskeletal model is proposed which
has both motion prediction and muscular dynamics assessment capabilities. Methods: First …

Background The societal cost of shoulder disabilities in our aging society keeps rising.
Providing biomarkers of early changes in the microstructure of rotator cuff (RC) muscles …

Healthy shoulder function requires the coordination of the rotator cuff muscles to maintain
the humeral head's position in the glenoid. While glenohumeral stability has been studied in …

In strength training, personalised strength training (autoregulation) approaches have been
used to individualise exercise programs with monitoring for dynamic adjustment based on …

The current work promotes the use of non-invasive devices for reducing involuntary tremor
of human upper limb. It concentrates on building up an upper limb model used to reflect the …

EMG-driven musculoskeletal model has been broadly used to detect human intention in
rehabilitation robots. This approach computes muscle-tendon force and translates it to the …

Shoulder musculoskeletal modelling is a computational technique that can revolutionise
orthopaedics, by allowing precise estimation of the muscle and joint forces implied while …

Muscle moment arm is a property that associates muscle force with joint moment and is
crucial to biomechanical analysis. In musculoskeletal simulations, the accuracy of moment …

Despite recent advances in algorithms for estimating muscle activities, static optimization
remains the most used. Static optimization estimates muscle activations required to obtain a …