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

被引：5
|
作者：
Liu, Guangdi [1 ,2 ]
Xia, Yuan [1 ]
Yang, Chuanwei [3 ]
Zhang, Le [1 ,4 ]
机构：
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing 400715, Peoples R China
[2] Chengdu Univ, Lib Chengdu Univ, Chengdu 610106, Sichuan, Peoples R China
[3] Univ Texas MD Anderson Canc Ctr, Syst Biol, Houston, TX 77030 USA
[4] Sichuan Univ, Coll Comp Sci, Chengdu 610065, Sichuan, Peoples R China
来源：
BIOINFORMATICS RESEARCH AND APPLICATIONS, ISBRA 2018 | 2018年 / 10847卷
基金：
中国国家自然科学基金;
关键词：
Shannon entropy; Biomedical signal; Cancer research; Approximate entropy; Correntropy; HEART-RATE DYNAMICS; APPROXIMATE ENTROPY; MAXIMUM CORRENTROPY; SHANNON ENTROPY; PERMUTATION ENTROPY; RATE-VARIABILITY; INFORMATION-CONTENT; COMPLEXITY; EEG; ALGORITHM;
D O I：
10.1007/978-3-319-94968-0_8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：87 / 100
页数：14
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