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Significance The human body is an organism with interdependent systems, where phenomena or interventions in a specific region can provoke responses in another apparently unrelated one. Localized muscle fatigue is characterized as a failure in the production of strength in a specific region caused by overuse. To investigate the global effect of this failure, access to interactions between different regions and systems is needed. In this work, we propose a global multivariate model based on artificial neural networks that produces as output a general functional profile, built from information from different control systems, which allows us to access the effects of local muscle fatigue on tasks that imply body performance as a single system.

A global view on how local muscular fatigue affects human performance