Noise and Complexity in Human Postural Control: Interpreting the Different Estimations of Entropy

Abstract

The various algorithms typically used to quantify the complexity (entropy) of CoP may yield very different results, particularly when sampling frequency and noise are different. The results of this study are discussed within the context of the neural noise and loss of complexity hypotheses.