Literature DB >> 17152441

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

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.

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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


  37 in total

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8.  Characterization of early partial seizure onset: frequency, complexity and entropy.

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Journal:  J Neural Transm (Vienna)       Date:  2014-08-01       Impact factor: 3.575

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