The Review of the Major Entropy Methods and Applications in Biomedical Signal Research

  • Guangdi Liu
  • Yuan Xia
  • Chuanwei YangEmail author
  • Le ZhangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10847)


Since biomedical signals are high dimensional data sets with a lot of noise signal, the results processed by the classical signal processing method are subjected to the impact of the noise and interference. Entropy as a measure of disorder or uncertainty in the data has been applied in signal processing research areas. This review is to introduce the application of entropy in the analysis of biomedical signals and discuss the advantages and shortcomings of various entropies. Especially, the utilization and application of entropy concept in cancer research are highlighted.


Shannon entropy Biomedical signal Cancer research Approximate entropy Correntropy 



This research was supported by the National Natural Science Foundation of China (No. 61372138) and the National Science and Technology Major Project (No. 2018ZX10201002).


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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computer and Information ScienceSouthwest UniversityChongqingChina
  2. 2.Library of Chengdu UniversityChengdu UniversityChengdu CityChina
  3. 3.Systems BiologyThe University of Texas MD Anderson Cancer CenterHoustonUSA
  4. 4.College of Computer ScienceSichuan UniversityChengduChina

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