Dispersion Entropy: Theory and Applications

Dear Colleagues,

In this Special Issue, we would like to collect papers focusing on both the theory and applications of dispersion entropy and its modified forms (fluctuation and fuzzy dispersion entropy). Despite being a very recent technique, dispersion entropy has received substantial and still increasing attention in the field, having found interesting applications in a wide range of fields, including the analysis of biomedical signals, mechanical systems, marine science, the economy, civil engineering, and computer science, among others. Moreover, dispersion entropy has spurred new theoretical developments, including variations of dispersion entropy for univariate time series and versions of the algorithm for multivariate time series, 2D images, 3D data, and multiscale implementations.

However, opportunities, both in theoretical advances and practical applications, are abundant. As such, this Special Issue seeks to serve as a vehicle for the exploration of these emerging topics. As a result, the main topics of this Special Issue include (but are not limited to):

• Reviews on diverse aspects of dispersion entropy.
• Theoretical developments enabled by the concepts of dispersion entropy and dispersion patterns.
• Studies comparing dispersion entropy with other nonlinear analysis techniques.
• Studies of the behavior of dispersion entropy in relation to other signal characteristics.
• Explorations of the relationships between dispersion entropy and other descriptions of complex and nonlinear systems, including network analysis and connectivity.
• Investigation of underlying mechanisms behind dispersion entropy results used for physiological data to improve our understanding of disease diagnosis/pathogenesis/progression.
• Theoretical and practical considerations of the parameters used in dispersion entropy, including the mapping function, embedding dimension, time delay, and sampling frequency, in the characterization of data with different lengths and signal-to-noise ratios.
• Applications of dispersion entropy including, but not limited to, biomedical, mechanical, financial, and climatological data.

Dr. Anne Humeau-Heurtier
Dr. Hamed Azami
Dr. Mostafa Rostaghi
Dr. Daniel Abasolo
Dr. Javier Escudero
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.