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Entropy in Biomedical Engineering, 3rd Edition

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 58

Special Issue Editor


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Guest Editor
Department of Computer Science and Engineering, University of Ioannina, 45110 Ioannina, Greece
Interests: biomedical engineering; entropy analysis; biomedical signal processing; computing systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of nonlinear methods in biomedical engineering has grown increasingly popular, with entropy-based ones being of major importance. Various definitions of entropy have been extensively used in biomedical engineering, where in some topics, the vast majority of papers employ entropy analysis. Biomedical engineering, with complex and multidimensional problems, has long inspired researchers working on entropy, leading to the development of significant entropy definitions. The inherent capability of entropy analysis to extract sensitive information from complex systems has been the key factor in its widespread acceptance and adoption.

This is the third Special Issue on entropy in Biomedical Engineering. The success of the previous issues has motivated us to open a new Issue on the same topic. This series of Special Issues focuses on the contribution of entropy in biomedical engineering, including, but not limited to, biomedical applications; the analysis of biomedical data using entropy; entropy definitions inspired by biomedical engineering challenges; entropy metrics evaluated with biomedical data; computational algorithms; and the use of entropy as features in machine learning applications analyzing biomedical data.

Dr. George Manis
Guest Editor

Manuscript Submission Information

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Keywords

  • entropy
  • approximate entropy
  • sample entropy
  • nonlinear analysis
  • biomedical engineering
  • entropy in biomedical applications
  • entropy in biomedical signals analysis
  • entropy in biomedical imaging
  • entropy in machine learning
  • fast computation of entropy

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