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 …

Background Computational spine models of various types have been employed to
understand spine function, assess the risk that different activities pose to the spine, and …

Being able to capture relevant information about elite athletes' movement “in the wild” is
challenging, especially because reference marker-based approaches hinder natural …

Two-dimensional deep-learning pose estimation algorithms can suffer from biases in joint
pose localizations, which are reflected in triangulated coordinates, and then in 3D joint …

Low back joint compression forces have been linked to the development of chronic back
pain. Back-support exoskeletons controllers based on low back compression force estimates …

Lumbar spine injuries caused by repetitive lifting rank as the most prevalent workplace injury
in the United States. While these injuries are caused by both symmetric and asymmetric …

Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study,
we aimed to compare muscle activations from subject-specific thoracolumbar spine …

The movement patterns appropriate for exercise and manual labor do not always
correspond to what people instinctively choose for better comfort. Without expert guidance …

Optical motion capture (OMC) is considered the best available method for measuring spine
kinematics, yet inertial measurement units (IMU) have the potential to collect data outside …

Musculoskeletal models of the lumbar spine have been developed with varying levels of
detail for a wide range of clinical applications. Providing consistency is ensured throughout …