Analysis of biomedical signals by the Lempel-Ziv complexity: the effect of finite data size

被引:146
作者
Hu, Jing [1 ]
Gao, Jianbo [1 ]
Principe, Jose C. [1 ]
机构
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
关键词
biomedical signal analysis; epileptic seizure detection; Lempel-Ziv complexity;
D O I
10.1109/TBME.2006.883825
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The Lempel-Ziv (LZ) complexity and its variants are popular metrics for characterizing biological signals. Proper interpretation of such analyses, however, has not been thoroughly addressed. In this letter, we study the the effect of finite data size. We derive analytic expressions for the LZ complexity for regular and random sequences, and employ them to develop a normalization scheme. To gain further understanding, we compare the LZ complexity with the correlation entropy from chaos theory in the context of epileptic seizure detection from EEG data, and discuss advantages of the normalized LZ complexity over the correlation entropy.
引用
收藏
页码:2606 / 2609
页数:4
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