Examining Human Unipedal Quiet Stance: Characterizing Control through Jerk

Figure 6

Typical characteristics for data tested using Algorithm 0 with the null hypothesis failing to be rejected. (a) The original A-P time series tested and (b) its corresponding power spectral density. (c) This is a quantile-quantile plot of the original data indicating that these data follow a fairly normal distribution with some asymmetric tail deviation. (d) A rank-ordered criterion was applied for Algorithm 0 (using 21 surrogate data sets) and, as seen here, for this test, there was a failure to reject the null hypothesis. Sample entropy (with a tolerance 0.20 of the standard deviation of the data values) was used in this case. This suggests that the original time series has the character consistent with IID noise. The power spectral density is relatively flat.

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