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. 2019 Oct 29;14(10):e0224521. doi: 10.1371/journal.pone.0224521

Fig 1. Multi-scale permutation entropy as useful feature for neonatal sleep stage classification.

Fig 1

(a) Six possible ordinal patterns are identified (pi), their distribution is formed and Shannon entropy is computed. (b) Simulated time series prior (left) and after the coarse-graining procedure (right) are shown. Note that the granulation removes the fast-varying changes, which allows estimating the entropy on a slower temporal scale. (c) PSDs of individual epochs for a single recording (week-5) and corresponding visual/manual sleep staging, log-transformed power is shown for better visibility. (d) Corresponding MSPE values for the same recording depicted separately for the original signal (left) and after coarse-graining (right). Note that these three classes or stages are distinguishable on both scales, yet different patterns are observed in the original and coarse-grained computation.