Permutation entropy of EEG phase dynamics distinguishes consciousness levels and eyes-open/closed states but not inattentive ADHD from controls across two datasets.
, Ms, and F 2(ν, s) ≡ 1 s sX i=1 {Z[M − (ν − Ms)s + i] − zν(i)}2, for ν = Ms + 1, ...,2Ms, where zν(i) is the fitting polynomial in segment ν
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Human brain state classification via permutation entropy of EEG phase dynamics across consciousness levels and inattentive-type ADHD
Permutation entropy of EEG phase dynamics distinguishes consciousness levels and eyes-open/closed states but not inattentive ADHD from controls across two datasets.