Literature DB >> 12450368

Quantifying physiological data with Lempel-Ziv complexity--certain issues.

Radhakrishnan Nagarajan1.   

Abstract

The oscillations observed in physiological data can be attributed largely to the presence of either a nonlinear deterministic or a nondeterministic component. The Lempel-Ziv complexity and its variants have been used successfully to quantify the regularity of these oscillations. The decrease in the complexity can be observed in the case of nontrivial deterministic patterns as well as correlated noise. Thus, any conclusion on the nature of the pattern based solely on the value of the Lempel-Ziv complexity is incomplete. In this paper, the use of the surrogate data technique is suggested to avoid spurious interpretation of this measure of complexity. The data sets considered include the uterine contraction obtained during active labor. The surrogates are generated using the amplitude adjusted fourier transform and the iterated amplitude adjusted fourier transform. The approximate entropy is used as an alternate measure to verify the results obtained.

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Year:  2002        PMID: 12450368     DOI: 10.1109/TBME.2002.804582

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

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5.  Baroreflex Coupling Assessed by Cross-Compression Entropy.

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7.  Entropy and Complexity Analyses in Alzheimer's Disease: An MEG Study.

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Journal:  Open Biomed Eng J       Date:  2010-10-10

8.  Barcoding human physical activity to assess chronic pain conditions.

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9.  Cognitive tasks and cerebral blood flow through anterior cerebral arteries: a study via functional transcranial Doppler ultrasound recordings.

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Journal:  BMC Med Imaging       Date:  2016-03-12       Impact factor: 1.930

10.  Relationship between the Presence of the ApoE ε4 Allele and EEG Complexity along the Alzheimer's Disease Continuum.

Authors:  Víctor Gutiérrez-de Pablo; Carlos Gómez; Jesús Poza; Aarón Maturana-Candelas; Sandra Martins; Iva Gomes; Alexandra M Lopes; Nádia Pinto; Roberto Hornero
Journal:  Sensors (Basel)       Date:  2020-07-10       Impact factor: 3.576

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