Before revision:  RangeEn analysis of epileptic EEG data showed distinct behaviours in the r-domain for extracranial versus intracranial recordings as well as different states of epileptic EEG data. The constrained trajectory of RangeEn in the r-plane makes them a good candidate for studying complex biological signals such as EEG during seizure and non-seizure states. The Python package used to generate the results shown in this paper is publicly available at: URL
After revision:  RangeEn analysis of epileptic EEG data as a real-world example. Python implementation of this study is publicly available at: URL