Paper Info
Title
Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis
Abstract
Lempel-Ziv complexity (LZ) and derived LZ algorithms have been extensively used to solve information theoretic problems such as coding and lossless data compression. In recent years, LZ has been widely used in biomedical applications to estimate the complexity of discrete-time signals. Despite its popularity as a complexity measure for biosignal analysis, the question of LZ interpretability and its relationship to other signal parameters and to other metrics has not been previously addressed. We have carried out an investigation aimed at gaining a better understanding of the LZ complexity itself, especially regarding its interpretability as a biomedical signal analysis technique. Our results indicate that LZ is particularly useful as a scalar metric to estimate the bandwidth of random processes and the harmonic variability in quasi-periodic signals.
Year
DOI
Venue
2006
10.1109/TBME.2006.883696
Biomedical Engineering, IEEE Transactions
Keywords
Field
DocType
data compression,encoding,medical signal processing,Lempel-Ziv complexity measure,biomedical signal analysis,coding,discrete-time signals,harmonic variability,information theoretic problems,lossless data compression,quasiperiodic signals,random processes,Complex analysis,Lempel-Ziv complexity (LZ),nonlinear analysis
Data mining,Interpretability,Signal processing,Computer science,Electronic engineering,Coding (social sciences),Theoretical computer science,Bandwidth (signal processing),Biosignal,Data compression,Encoding (memory),Lossless compression
Journal
Volume
Issue
ISSN
53
11
0018-9294
Citations 
PageRank 
References 
54
3.52
30
Authors
4
Name
Order
Citations
PageRank
Mateo Aboy129740.03
Roberto Hornero260367.74
Daniel Abásolo325326.22
Daniel Álvarez421225.22