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 they can provide an overall coordinating parameter for muscles, they do not accurately reflect deactivated and compensatory changes in individual muscles. Therefore, there is an urgent need for a method that can provide both global and local depictions of multiple muscle interactions.

However these derivative algorithms based on recurrence characteristics are still inadequate for evaluating multivariate signals which can only provide the overall coordinating parameter of muscles bu

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