Computational Biomechanics for Human Movement, Sports, and Rehabilitation

Recent advances in computational biomechanics and digital modeling have unlocked new opportunities for analyzing and understanding human movement in sports and active living. Despite significant progress, a notable gap persists between computational innovation and its application in sports performance, injury prevention, rehabilitation, and inclusive active living. This Research Topic is dedicated to publishing research that leverages computer simulation and modeling, such as musculoskeletal simulation, finite element analysis, and artificial intelligence. Contributions that bridge computational techniques with real-world scenarios, whether for healthy populations or in rehabilitation settings, are especially encouraged. The goal is to advance biomechanical understanding while facilitating the translation of research into practical, impactful solutions for sports and active living.

The complex musculoskeletal, thermal, and cardiovascular challenges faced by the human body during sports and active living are the focus of this Research Topic. Many physiological and biomechanical factors that are difficult or even impossible to measure empirically - such as internal muscle forces, joint reaction forces, bone stresses, tissue adaptation, density prediction, internal heat transfer, and fluid dynamics - can be investigated through advanced computational methods. By integrating simulations with clinical and experimental data, researchers can develop models that explain underlying mechanisms and improve the ability to prevent injuries, optimize performance, and support rehabilitation. Furthermore, this Research Topic encourages contributions that connect biomechanics to broader societal impacts, including enhancing the accessibility of sports and rehabilitation technologies. By bridging computational approaches with real-world applications, the goal is to advance scientific understanding while contributing to sustainable development, particularly in alignment with SDG 3 (Good Health and Well-being) and SDG 10 (Reduced Inequalities). Ultimately, this topic aims to establish a platform for interdisciplinary collaboration that drives innovation in sports and active living.

To gather further insights into the role of computational biomechanics in sports and rehabilitation, we welcome articles covering (but not limited to) the following themes:

o Computational modeling: finite element analysis, musculoskeletal simulation

o Bone and tissue adaptation: computational approach to bone remodeling, fracture risk prediction, heat transfer, and fluid dynamics

o Artificial intelligence and machine learning in biomechanics

o Validation of computational models/frameworks against experimental or clinical data

o Societal impacts and enhancing accessibility of sports and rehabilitation technologies

We welcome original research, reviews, and methodological papers. Manuscripts should clearly demonstrate the application of computational methods to sports, human movement, or rehabilitation, with an emphasis on advancing biomechanical understanding and real-world impact. Studies that do not address biomechanics within the context of sports or physical activity are outside the scope of this section.