| Literature DB >> 17152441 |
Jing Hu1, Jianbo Gao, Jose C Principe.
Abstract
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.Entities:
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Year: 2006 PMID: 17152441 DOI: 10.1109/TBME.2006.883825
Source DB: PubMed Journal: IEEE Trans Biomed Eng ISSN: 0018-9294 Impact factor: 4.538