Although algorithms based on recurrence characteristics have improved our understanding of muscle coordination, they have limitations when it comes to evaluating multivariate signals. While they can provide an overall coordinating parameter for muscles, they do not accurately reflect individual muscle deactivation and compensatory changes. Therefore, there is an urgent need for a method that can provide both global and local depictions of multiple muscle interactions.

Although derivative algorithms based on recurrence characteristics have improved our understanding of muscle coordination they still fall short when it comes to evaluating multivariate signals While t

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