Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis
Joint Authors
Yentes, Jennifer M.
McCamley, John
Denton, William
Lyden, Elizabeth
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The aim of this investigation was to compare and contrast the use of cross sample entropy (xSE) and cross recurrence quantification analysis (cRQA) measures for the assessment of coupling of rhythmical patterns.
Measures were assessed using simulated signals with regular, chaotic, and random fluctuations in frequency, amplitude, and a combination of both.
Biological data were studied as models of normal and abnormal locomotor-respiratory coupling.
Nine signal types were generated for seven frequency ratios.
Fifteen patients with COPD (abnormal coupling) and twenty-one healthy controls (normal coupling) walked on a treadmill at three speeds while breathing and walking were recorded.
xSE and the cRQA measures of percent determinism, maximum line, mean line, and entropy were quantified for both the simulated and experimental data.
In the simulated data, xSE, percent determinism, and entropy were influenced by the frequency manipulation.
The 1 : 1 frequency ratio was different than other frequency ratios for almost all measures and/or manipulations.
The patients with COPD used a 2 : 3 ratio more often and xSE, percent determinism, maximum line, mean line, and cRQA entropy were able to discriminate between the groups.
Analysis of the effects of walking speed indicated that all measures were able to discriminate between speeds.
American Psychological Association (APA)
McCamley, John& Denton, William& Lyden, Elizabeth& Yentes, Jennifer M.. 2017. Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142339
Modern Language Association (MLA)
McCamley, John…[et al.]. Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1142339
American Medical Association (AMA)
McCamley, John& Denton, William& Lyden, Elizabeth& Yentes, Jennifer M.. Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142339
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142339