Complexity of Cardiac Autonomic Modulation in Diabetes Mellitus: A New Technique to Perceive Autonomic Dysfunction

Q4 Medicine

Romanian Journal of Diabetes, Nutrition and Metabolic Diseases Pub Date : 2019-09-01 DOI:10.2478/rjdnmd-2019-0029

D. Garner, Naiara Maria de Souza, V. Valenti, L. Vanderlei

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引用次数: 0

Abstract

Abstract 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.

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糖尿病患者心脏自主神经调节的复杂性:一种感知自主神经功能障碍的新技术

摘要背景与目的。在这项研究中，我们通过混沌全局技术分析了心率变异性（HRV），以区分糖尿病患者和对照组。数学和方法。对心电图RR间期进行了混沌全局分析，并进行了预处理调整。评估了改变两个参数对调整多锥法（MTM）功率谱的影响。然后，在光谱参数固定的情况下，应用从1Hz到13Hz的三次样条插值。精确地记录了1000个RR间隔的数据。后果当强制执行默认标准条件时，CFP1和CFP3是混沌全局的唯一重要组合。MTM谱调整和三次样条插值在影响两个数据集之间的结果方面是微不足道的。对结果影响最大的是数据长度。结论混沌全局分析是一种可靠、低成本和稳健的技术，用于检测糖尿病患者的自主神经功能障碍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Romanian Journal of Diabetes, Nutrition and Metabolic Diseases Medicine-Internal Medicine

CiteScore

0.80

自引率

0.00%

发文量