Document Detail


Testing pattern synchronization in coupled systems through different entropy-based measures.
MedLine Citation:
PMID:  23337958     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Pattern synchronization (PS) can capture one aspect of the dynamic interactions between bivariate physiological systems. It can be tested by several entropy-based measures, e.g., cross sample entropy (X-SampEn), cross fuzzy entropy (X-FuzzyEn), multivariate multiscale entropy (MMSE), etc. A comprehensive comparison on their distinguishability is currently missing. Besides, they are highly dependent on several pre-defined parameters, the threshold value r in particular. Thus, their consistency also needs further elucidation. Based on the well-accepted assumption that a tight coupling necessarily leads to a high PS, we performed a couple of evaluations over several simulated coupled models in this study. All measures were compared to each other with respect to their consistency and distinguishability, which were quantified by two pre-defined criteria-degree of crossing (DoC) and degree of monotonicity (DoM). Results indicated that X-SampEn and X-FuzzyEn could only work well over coupled stochastic systems with meticulously selected r. It is thus not recommended to apply them to the intrinsic complex physiological systems. However, MMSE was suitable for both, indicating by relatively higher DoC and DoM values. Final analysis on the cardiorespiratory coupling validated our results.
Authors:
Peng Li; Chengyu Liu; Xinpei Wang; Liping Li; Lei Yang; Yongcai Chen; Changchun Liu
Related Documents :
15497418 - Coherence and polarization of electromagnetic beams modulated by random phase screens a...
20802688 - Fiber full-polarization-state controller.
19718208 - Frequency-modulation-polarization spectroscopy.
22426458 - Infrared metamaterial phase holograms.
18518588 - Breakdown of integrability in a quasi-1d ultracold bosonic gas.
19405768 - Femtosecond laser ablation of the stapes.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-22
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  -     ISSN:  1741-0444     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
School of Control Science and Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, People's Republic of China.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  The need to reduce cold ischemia time in kidney transplantation.
Next Document:  Hydrophobic flavonoids from Scutellaria baicalensis induce colorectal cancer cell apopto...