Cargando…
Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis
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 fluctua...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671691/ https://www.ncbi.nlm.nih.gov/pubmed/29201135 http://dx.doi.org/10.1155/2017/7960467 |
_version_ | 1783276288627179520 |
---|---|
author | McCamley, John Denton, William Lyden, Elizabeth Yentes, Jennifer M. |
author_facet | McCamley, John Denton, William Lyden, Elizabeth Yentes, Jennifer M. |
author_sort | McCamley, John |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5671691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-56716912017-12-03 Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis McCamley, John Denton, William Lyden, Elizabeth Yentes, Jennifer M. Comput Math Methods Med Research Article 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. Hindawi 2017 2017-10-22 /pmc/articles/PMC5671691/ /pubmed/29201135 http://dx.doi.org/10.1155/2017/7960467 Text en Copyright © 2017 John McCamley et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article McCamley, John Denton, William Lyden, Elizabeth Yentes, Jennifer M. Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title | Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title_full | Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title_fullStr | Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title_full_unstemmed | Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title_short | Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis |
title_sort | measuring coupling of rhythmical time series using cross sample entropy and cross recurrence quantification analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671691/ https://www.ncbi.nlm.nih.gov/pubmed/29201135 http://dx.doi.org/10.1155/2017/7960467 |
work_keys_str_mv | AT mccamleyjohn measuringcouplingofrhythmicaltimeseriesusingcrosssampleentropyandcrossrecurrencequantificationanalysis AT dentonwilliam measuringcouplingofrhythmicaltimeseriesusingcrosssampleentropyandcrossrecurrencequantificationanalysis AT lydenelizabeth measuringcouplingofrhythmicaltimeseriesusingcrosssampleentropyandcrossrecurrencequantificationanalysis AT yentesjenniferm measuringcouplingofrhythmicaltimeseriesusingcrosssampleentropyandcrossrecurrencequantificationanalysis |