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Special Issue "Nonlinear Methods for Biomedical Engineering"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".

Deadline for manuscript submissions: 15 October 2023 | Viewed by 330

Special Issue Editors

Department of Computer Science, University of Verona, Strada le Grazie 15, 37134 Verona, Italy
Interests: movement analysis; rehabilitation engineering; sports biomechanics; motion capture; wearable sensors; biomechanics
Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Giustiniani 3, 35128 Padova, Italy
Interests: brain connectivity; EEG; EEG-fMRI; MEG; frequency and time-frequency analysis
Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Giustiniani 3, 35128 Padova, Italy
Interests: entropy; complexity measures; time-series analysis; EEG

Special Issue Information

Dear Colleagues,

Signals collected in human beings during clinical tests and daily life activities, such as electroencephalography (EEG), electromyography (EMG), and accelerometry, can be successfully analyzed through linear (e.g., autoregressive models, power spectral density, coherence, connectivity) and nonlinear (e.g., fractals, entropy-derived indices) methods to assess their complexity and regularity to unveil peculiar patterns and human adaptability to the environment. Nonlinear measures allow the extraction of information complementary to the classical linear features to enable a comprehensive characterization of both physiological and pathological time-series.

We welcome the submission of original research findings (e.g., case reports, clinical trials, clinical studies, comparative studies, and methodological papers) or review articles on the topic. Manuscripts might focus on the analysis of human physiological/pathological mechanisms through both linear and nonlinear methods identifying potential biomarkers to be used in the design of intervention strategies.

We encourage authors to share their processed data and code to guarantee the reproducibility of their findings.

We expect that works collected for this Special Issue will provide new insights into the distinctive patterns of human signals helpful in the implementation of rehabilitative and preventive interventions.

Dr. Roberto Di Marco
Dr. Emanuela Formaggio
Dr. Maria Rubega
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 100 words) can be sent to the Editorial Office for announcement on this website.

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.


  • electrophysiology
  • electroencephalography (EEG)
  • electromyography (EMG)
  • accelerometry
  • nonlinear analysis
  • wearable devices

Published Papers

This special issue is now open for submission.
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