Toward future diagnostics of Parkinson’s disease: a perspective on multimodal motor assessment and personalized digital twins Read more
Muscle activation color information facilitates visual perception in action observation and motor imagery Read more
Neural network surrogates for musculoskeletal models: An application to implant alignment in total knee arthroplasty Read more
Artificial neural networks for predicting ground reaction forces, feet centers of pressure, spine loads, and trunk muscle forces during load-handling activities Read more
A proof-of-concept comparison of Azure Kinect and smartphone-based OpenCap for driving musculoskeletal simulations: A unified framework with foot-ground contact modeling Read more
Person-specific evaluation method for occupational exoskeletons – Biomechanical body heat map Read more
Can the predicted muscle geometry generated by a statistical model enhance subject-specific musculoskeletal simulations of hip osteoarthritis? Read more
Assessing within-individual gait acceleration variability: a comparative analysis of remote monitoring and laboratory measurements Read more
Assessment of biomechanical risk factors in construction work using an AI-based motion capture system Read more
Advantages of digital twin technology in orthopedic trauma Surgery – Exploring different clinical use cases Read more
