Solving musculoskeletal biomechanics with machine learning
Abstract
Deep learning is a relatively new computational technique for the description of the musculoskeletal dynamics. The experimental relationships of muscle geometry in different postures are the high-dimensional spatial transformations that can be approximated by relatively simple functions, which opens the opportunity for machine learning (ML) applications. In this study, we challenged general ML algorithms with the problem of approximating the...
Paper Details
Title
Solving musculoskeletal biomechanics with machine learning
Published Date
Aug 26, 2021
Journal
Volume
7
Pages
e663 - e663
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