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. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Physiol Meas. 2012 Nov 15;33(12):2017–2031. doi: 10.1088/0967-3334/33/12/2017

Figure 2.

Figure 2

A general block diagram of an algorithm to derive steady-state indicator for the intracranial pressure dynamic system. This algorithm can accommodate different ways to characterize inter-pulse distance/similarity. In the present work, we evaluate geodesic distance, Euclidean distance, and Pearson correlation coefficient as three examples of such approaches. In addition, the proposed algorithm supports using different statistical metrics derivable from the distance histogram as steady-state indicator. The three metrics tested in the present work include mean, standard deviation, and 90th percentile value.