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生物医学信号分析背景下的莱姆普尔-齐夫复杂度度量解读。

Interpretation of the Lempel-Ziv complexity measure in the context of biomedical signal analysis.

作者信息

Aboy Mateo, Hornero Roberto, Abásolo Daniel, Alvarez Daniel

机构信息

Electronics Engineering Technology Department, Oregon Institute of Technology, Portland, OR 97006, USA.

出版信息

IEEE Trans Biomed Eng. 2006 Nov;53(11):2282-8. doi: 10.1109/TBME.2006.883696.

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.

摘要

莱姆佩尔-齐夫复杂度(LZ)及其派生算法已被广泛用于解决信息论问题,如编码和无损数据压缩。近年来,LZ已在生物医学应用中广泛用于估计离散时间信号的复杂度。尽管它作为生物信号分析的复杂度度量很受欢迎,但LZ的可解释性问题及其与其他信号参数和其他度量的关系此前尚未得到解决。我们进行了一项调查,旨在更好地理解LZ复杂度本身,特别是其作为生物医学信号分析技术的可解释性。我们的结果表明,LZ作为一种标量度量,在估计随机过程的带宽和准周期信号的谐波变化方面特别有用。

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