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Found 2 papers, 1 papers with code
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
In this paper, we propose a deep learning-based framework for automated assessment of the quality of physical rehabilitation exercises.
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Generative adversarial networks for generation and classification of physical rehabilitation movement episodes
This article proposes a method for mathematical modeling of human movements related to patient exercise episodes performed during physical therapy sessions by using artificial neural networks.
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