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Non-linear regulation of cardiac autonomic modulation in obese youths: interpolation of ultra-short time series

Published online by Cambridge University Press:  27 August 2019

David M. Garner ,
Franciele M. Vanderlei Open the ORCID record for Franciele M. Vanderlei [Opens in a new window] ,
Vitor E. Valenti Open the ORCID record for Vitor E. Valenti [Opens in a new window]  and
Luiz Carlos M. Vanderlei
David M. Garner
Affiliation:
Cardiorespiratory Research Group, Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
Franciele M. Vanderlei
Affiliation:
Department of Physiotherapy, Sao Paulo State University, UNESP, Presidente Prudente, Brazil
Vitor E. Valenti
Affiliation:
Autonomic Nervous System Center, Sao Paulo State University, UNESP, Presidente Prudente, Brazil
Luiz Carlos M. Vanderlei*
Affiliation:
Department of Physiotherapy, Sao Paulo State University, UNESP, Presidente Prudente, Brazil
*
Author for correspondence: L. C. M. Vanderlei, Department of Physiotherapy, Sao Paulo State University, UNESP, Rua Roberto Simonsen, 305 – Centro Educacional, Presidente Prudente 19060-900, Brazil. Tel: +55 (18) 3229-5388; Fax: +55 (18) 3229-5389; E-mail: [email protected]
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Abstract

Background:

In this study, we applied ultra-short time series of interbeat intervals (RR-intervals) to evaluate heart rate variability through default chaotic global techniques with the purpose of discriminating obese youths from non-obese youth patients.

Method:

Chaotic global analysis of the RR-intervals from the electrocardiogram and pre-processing adjustments was undertaken. The effect of cubic spline interpolations was assessed, while the spectral parameters remained fixed. Exactly, 125 RR-intervals of data were recorded.

Results:

CFP1, CFP3, and CFP6 were the only significant combinations of chaotic globals when the standard conditions were enforced and at the level p<0.01 (or <1%). These significances were acheived via Kruskal–Wallis and Cohen’s ds effects sizes tests of significance after Anderson–Darling and Lilliefors statistical tests indicated non-normal distributions in the majority of cases. Adjustments of the cubic spline interpolation from 1 to 13 Hz were revealed to be inconsequential when measured by Kruskal–Wallis and Cohen’s ds, regarding the outcome between the two datasets.

Conclusion:

Chaotic global analysis was offered as a robust technique to distinguish autonomic dysfunction in obese youths. It can discriminate the two different groups using ultra-short data lengths, and no cubic spline interpolations need be applied.

Keywords

Obese youthsultra-short time seriescubic spline interpolationchaotic globals
Type
Original Article
Information
Cardiology in the Young , Volume 29 , Issue 9 , September 2019 , pp. 1196 - 1201
Copyright
© Cambridge University Press 2019 

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