Challenges and Opportunities Associated with Technology Driven Biomechanical Simulations

TL;DR

This paper discusses the challenges and opportunities in computational biomechanics, emphasizing the role of machine learning, data management, and technological advances in improving simulations and applications in health and sports.

Contribution

It highlights the key challenges in biomechanical simulations and proposes integrating machine learning, computational tools, and data standardization to enhance research and practical applications.

Findings

Machine learning can handle complex biomechanical data effectively.

Computational tools enable inexpensive and scalable biomechanical studies.

Standardization and validation are crucial for reliable biomechanical models.

Abstract

This paper presents the principal challenges and opportunities associated with computational biomechanics research. The underlying cognitive control involved in the process of human motion is inherently complex, dynamic, multidimensional, and highly non-linear. The dynamics produced by the internal and external forces and the body's ability to react to them is biomechanics. Complex and non-rigid bodies, needs a lot of computing power and systems to execute however, in the absence of adequate resources, one may rely on new technology, machine learning tools and model order reduction approaches. It is also believed that machine learning approaches can enable us to embrace this complexity, if we could use three arms of ML i.e. predictive modeling, classification, and dimensionality reduction. Biomechanics, since it deals with motion and mobility come with a huge set of data over time. Using computational (Computer Solvers), Numerical approaches (MOR) and technological advances (Wearable sensors), can let us develop computationally inexpensive frameworks for biomechanics focused studies dealing with a huge amount of data. A lot of misunderstanding arises because of extensive data, standardization of the tools to process this, database for the material property definitions, validation and verification of biomechanical models and analytical tools to model various phenomena using computational and modelling techniques. Study of biomechanics through computational simulations can improve the prevention and treatment of diseases, predict the injury to reduce the risk and hence can strengthen pivotal sectors like sports and lifestyle. This is why we choose to present all those challenges and problems associated with biomechanical simulation with complex geometries fail so as to help improve, analysis, performance and design for better lifestyle.