Discriminating power of complexity for human pulse waveforms. The distribution (a binned histogram) of statistic values estimated via the ATS method (as described in figure 5) for each of the four distinct physiological waveforms is shown. The four rhythms correspond to those in figure 4. These figures show that complexity with 2, 3, and 4, symbols (plots (a), (b), and (c), respectively) is sufficient to differentiate between at least three of these four physiological states. The lowest complexity corresponds to "post-operative" state, the next highest to "quasi-stable" followed by "healthy" and finally "unstable". As in figure 6 there is considerable overlap between the "normal" and "quasi-stable" samples. However, for complexity with a binary partition (panel (a)) the four rhythms do appear to be distinct.