Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction
Backgound and aims. In this study we analyzed heart rate variability (HRV) via chaotic global techniques so as to discriminate diabetics from control subjects. Matherial and method. Chaotic global analysis of the RR-intervals from the electrocardiogram and preprocessing adjustments were undertaken....
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doaj-edd9775158104e0b96d306d8be48b8af2021-09-05T14:01:25ZengSciendoRomanian Journal of Diabetes Nutrition and Metabolic Diseases2284-64172019-09-0126327929110.2478/rjdnmd-2019-0029rjdnmd-2019-0029Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic DysfunctionGarner David M.0de Souza Naiara Maria1Valenti Vitor E.2Vanderlei Luiz Carlos M.3Cardiorespiratory Research Group, Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Headington Campus, Gipsy Lane, OxfordOX3 0BP, Oxfordshire, United KingdomDepartment of Physiotherapy, Sao Paulo State University, UNESP, Presidente Prudente, SP, BrazilAutonomic Nervous System Center, Sao Paulo State University, UNESP, Marília, SP, BrazilDepartment of Physiotherapy, Sao Paulo State University, UNESP, Presidente Prudente, SP, BrazilBackgound and aims. In this study we analyzed heart rate variability (HRV) via chaotic global techniques so as to discriminate diabetics from control subjects. Matherial and method. Chaotic global analysis of the RR-intervals from the electrocardiogram and preprocessing adjustments were undertaken. The effect of varying two parameters to adjust the Multi-Taper Method (MTM) power spectrum were evaluated. Then, cubic spline interpolations from 1Hz to 13Hz were applied whilst the spectral parameters were fixed. Precisely 1000 RR-intervals of data were recorded. Results. CFP1 and CFP3 are the only significant combinations of chaotic globals when the default standard conditions are enforced. MTM spectral adjustments and cubic spline interpolation are trivial at effecting the outcome between the two datasets. The most influencial constraint on the outcome is data length. Conclusion. Chaotic global analysis was offered as a reliable, low-cost and robust technique to detect autonomic dysfunction in subjects with diabetes mellitus.https://doi.org/10.2478/rjdnmd-2019-0029diabetes mellitusmulti-taper methodcubic spline interpolationdpssthomson’s nonlinear combination |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Garner David M. de Souza Naiara Maria Valenti Vitor E. Vanderlei Luiz Carlos M. |
spellingShingle |
Garner David M. de Souza Naiara Maria Valenti Vitor E. Vanderlei Luiz Carlos M. Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction Romanian Journal of Diabetes Nutrition and Metabolic Diseases diabetes mellitus multi-taper method cubic spline interpolation dpss thomson’s nonlinear combination |
author_facet |
Garner David M. de Souza Naiara Maria Valenti Vitor E. Vanderlei Luiz Carlos M. |
author_sort |
Garner David M. |
title |
Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction |
title_short |
Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction |
title_full |
Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction |
title_fullStr |
Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction |
title_full_unstemmed |
Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction |
title_sort |
complexity of cardiac autonomic modulation in diabetes mellitus: a new technique to perceive autonomic dysfunction |
publisher |
Sciendo |
series |
Romanian Journal of Diabetes Nutrition and Metabolic Diseases |
issn |
2284-6417 |
publishDate |
2019-09-01 |
description |
Backgound and aims. In this study we analyzed heart rate variability (HRV) via chaotic global techniques so as to discriminate diabetics from control subjects. Matherial and method. Chaotic global analysis of the RR-intervals from the electrocardiogram and preprocessing adjustments were undertaken. The effect of varying two parameters to adjust the Multi-Taper Method (MTM) power spectrum were evaluated. Then, cubic spline interpolations from 1Hz to 13Hz were applied whilst the spectral parameters were fixed. Precisely 1000 RR-intervals of data were recorded. Results. CFP1 and CFP3 are the only significant combinations of chaotic globals when the default standard conditions are enforced. MTM spectral adjustments and cubic spline interpolation are trivial at effecting the outcome between the two datasets. The most influencial constraint on the outcome is data length. Conclusion. Chaotic global analysis was offered as a reliable, low-cost and robust technique to detect autonomic dysfunction in subjects with diabetes mellitus. |
topic |
diabetes mellitus multi-taper method cubic spline interpolation dpss thomson’s nonlinear combination |
url |
https://doi.org/10.2478/rjdnmd-2019-0029 |
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