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

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Bioinformatics Research and Applications (ISBRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10847))

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Abstract

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.

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Acknowledgments

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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Authors and Affiliations

  1. College of Computer and Information Science, Southwest University, Chongqing, 400715, China

    Guangdi Liu, Yuan Xia & Le Zhang

  2. Library of Chengdu University, Chengdu University, Chengdu City, Sichuan Province, 610106, China

    Guangdi Liu

  3. Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, USA

    Chuanwei Yang

  4. College of Computer Science, Sichuan University, Chengdu, 610065, China

    Le Zhang

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  1. Guangdi Liu
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  2. Yuan Xia
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  4. Le Zhang
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Correspondence to Chuanwei Yang or Le Zhang .

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Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Fa Zhang

  2. Georgia State University, Atlanta, GA, USA

    Zhipeng Cai

  3. Georgia State University, Atlanta, GA, USA

    Pavel Skums

  4. Chinese Academy of Sciences, Beijing, China

    Shihua Zhang

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Liu, G., Xia, Y., Yang, C., Zhang, L. (2018). The Review of the Major Entropy Methods and Applications in Biomedical Signal Research. In: Zhang, F., Cai, Z., Skums, P., Zhang, S. (eds) Bioinformatics Research and Applications. ISBRA 2018. Lecture Notes in Computer Science(), vol 10847. Springer, Cham. https://doi.org/10.1007/978-3-319-94968-0_8

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