Entropy measures for biological signal analyses

http://www.gao.ece.ufl.edu/my_paper/NonlinearDyn12_Entropy_BioSig_GAO_Final_EB.pdf

This article want to answer these questions below:

(1) What are the connections among the different entropy measures?

(2) How may entropies reliably be computed from noisy biological data?

(3) How can analytic scaling laws for entropies be derived to guide experimental data analyses?

先介绍了Shannon 和Renyi熵；之后介绍了状态空间下的各种熵，通过scaling laws来理解ApEn和SampEn的不同；第五部分从ensemble forecasting(集合预测)角度来研究不同类型熵之间的联系，阐明了为什么scaledependent Lyapunov exponent (SDLE)在量化信息流动方面非常有利。