TY - JOUR
T1 - Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis
AU - Mccamley, John
AU - Denton, William
AU - Lyden, Elizabeth
AU - Yentes, Jennifer M.
N1 - Funding Information:
The authors would like to thank Dr. Michael Richardson for providing the initial cRQA codes as well as technical assistance in the use of the codes. Funding was provided by American Society of Biomechanics Grant-in-Aid, American Alliance for Health, Physical Education, Recreation, and Dance (now SHAPE America) Graduate Student Grant-in-Aid, NASA Nebraska Space Grant Fellowship program, and Research Support Fund from the Nebraska Medical Center and the University of Nebraska Medical Center. Additional funding was provided by the National Institutes of Health (P20 GM109090).
Publisher Copyright:
© 2017 John McCamley et al.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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U2 - 10.1155/2017/7960467
DO - 10.1155/2017/7960467
M3 - Article
C2 - 29201135
AN - SCOPUS:85042184761
SN - 1748-670X
VL - 2017
JO - Computational and Mathematical Methods in Medicine
JF - Computational and Mathematical Methods in Medicine
M1 - 7960467
ER -