[EN] Background and objectives : The adoption in clinical practice of electronic portable blood or interstitial glucose monitors has enabled the collection, storage, and sharing of massive amounts of glucose level readings. ...
[EN] Permutation Entropy (PE) is a time series complexity measure commonly used in a variety
of contexts, with medicine being the prime example. In its general form, it requires three input
parameters for its calculation: ...
[EN] Many entropy-related methods for signal classification have been proposed and exploited successfully in the last several decades. However, it is sometimes difficult to find the optimal measure
and the optimal parameter ...
[EN] Permutation Entropy (PE) is a very popular complexity analysis tool for time series. Despite its simplicity, it is very robust and yields goods results in applications related to assessing the randomness of a sequence, ...
[EN] Many time series entropy calculation methods have been proposed in the last few years. They are mainly used as numerical features for signal classification in any scientific field where data series are involved. We ...
[EN] The development of new measures and algorithms to quantify the entropy or related concepts of a data series is a continuous effort that has brought many innovations in this regard in recent years. The ultimate goal ...
[EN] Despite its widely tested and proven usefulness, there is still room for improvement in the basic permutation entropy (PE) algorithm, as several subsequent studies have demonstrated in recent years. Some of these new ...