The paper explores the use of machine learning algorithms to approximate the posture-dependent moment arm and muscle length relationships of the human arm and hand muscles. The developed models demonstrate the future applicability of machine learning for musculoskeletal transformations in a variety of applications, such as in advanced powered prosthetics.

🌐Link to the article: https://peerj.com/articles/cs-663/ 

Summary – https://martiantobe.educluster.com/blog/2023/09/05/research-review-solving-musculoskeletal-biomechanics-with-machine-learning/