Risk Assessment of Diabetes Mellitus by Chaotic Globals to Heart Rate Variability via Six Power Spectra

Garner, David M.; Souza, Naiara Maria de; Vanderlei, Luiz Carlos Marques

doi:10.1515/rjdnmd-2017-0028

Cited by 12 publications

(23 citation statements)

References 31 publications

(17 reference statements)

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“…Patient Selection and assessments were exactly as the studies by Souza et al [22] and Garner et al [4].…”

Section: Methodsmentioning

confidence: 99%

“…MTM is a power spectrum that can be advantageous when applied in spectral estimation [4]. Its key advantage is minimization of spectral leakage.…”

Section: Multi-taper Methods (Mtm) Power Spectrummentioning

confidence: 99%

“…Historically, we have calculated HRV in diabetes with validated procedures [4,[20][21][22][23]], yet, the reliability of global chaotic analysis to detect autonomic impairment in diabetic patients is unclear. Reduced chaos is related to decreased HRV and impaired physiological status [19,24].…”

Section: Romanian Journal Of Diabetes Nutrition and Metabolic Diseases mentioning

confidence: 99%

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

Garner

Souza

Valenti

et al. 2019

Romanian Journal of Diabetes Nutrition and Metabolic Diseases

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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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“…Patient Selection and assessments were exactly as the studies by Souza et al [22] and Garner et al [4].…”

Section: Methodsmentioning

confidence: 99%

“…MTM is a power spectrum that can be advantageous when applied in spectral estimation [4]. Its key advantage is minimization of spectral leakage.…”

Section: Multi-taper Methods (Mtm) Power Spectrummentioning

confidence: 99%

Section: Romanian Journal Of Diabetes Nutrition and Metabolic Diseases mentioning

confidence: 99%

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

Garner

Souza

Valenti

et al. 2019

Romanian Journal of Diabetes Nutrition and Metabolic Diseases

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“…It is regarded as the most robust of all the fractal dimension techniques and can be enforced on relatively short sections of data. It is imposed directly to the RR-intervals with no power spectrum step as is the case with the chaotic globals 8,9 . The phase information is maintained.…”

Section: Higuchi Fractal Dimension (Hfd)mentioning

confidence: 99%

“…HRV is highly regarded as a functional marker of human development 7 . It can be enforced to identify phenomena related to the ANS in healthy subjects and patients with certain diseases, such as diabetes mellitus 8,9 , chronic obstructive pulmonary disorder (COPD) 10 , epilepsy 11,12 and those referred to as "dynamical diseases 13 . "…”

mentioning

confidence: 99%

Complex measurements of heart rate variability in obese youths: distinguishing autonomic dysfunction

Garner¹,

Vanderlei²,

Vanderlei³

2018

J. Hum. Growth Dev.

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Introduction: Heart rate variability (HRV) can be assessed from RR-intervals. These are derived from an electrocardiographic PQRST-signature and can deviate in a chaotic or irregular manner. In the past, techniques from statistical physics have allowed researchers to study such systems. Objective: This study planned to assess the heart rate dynamics in young obese subjects by nonlinear metrics to heart rate variability. Methods: 86 subjects were split equally according to status. Heart rate was recorded with the subjects resting in a dorsal (prone) position for 30 minutes. The complexity of the RR-intervals was assessed by five Entropies, Detrended Fluctuation Analysis, Higuchi and Katz’s fractal dimensions Following inconclusive tests of normality we calculated the One-Way Analysis of Variance, Kruskal-Wallis, and the Effect Sizes by Cohen’s d significances. Results: It was established that Shannon, Renyi and Tsallis Entropies and the Higuchi and Katz・s fractal dimensions could significantly discriminate the two groups. The three entropies were higher in obese youths, suggesting less predictable sets of RR intervals (p<0.0001; d≈1.0). Whilst the Higuchi (p<0.003; d≈0.76) and Katz・s (p≈0.02; d≈0.57) fractal dimensions were lower in obese youths. Conclusion: As with chaotic globals an increase in response was detected by three measures of entropy in young obese. This is counter to the decreasing response detected by fractal dimensions. Chaotic globals and entropies are more dependable than fractal dimensions when assessing the responses to obesity.

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

et al. 2019

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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.

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Risk Assessment of Diabetes Mellitus by Chaotic Globals to Heart Rate Variability via Six Power Spectra

Abstract: Background: The priniciple objective here is to analyze cardiovascular dynamics in diabetic subjects by actions related to heart rate variability (HRV

Cited by 12 publications

References 31 publications

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

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

Complex measurements of heart rate variability in obese youths: distinguishing autonomic dysfunction

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

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