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

• Autor(a) principal: Garner, David M.
• Data de Publicação: 2019
• Outros Autores: Vanderlei, Franciele M. [UNESP], Valenti, Vitor E. [UNESP], Vanderlei, Luiz Carlos M. [UNESP]
• Tipo de documento: Conjunto de dados
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP (dados de pesquisa)
• Texto Completo: http://dx.doi.org/10.1017/S1047951119001951; http://hdl.handle.net/11449/188053
• topic: chaotic globals; cubic spline interpolation; Obese youths; ultra-short time series

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.