Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women

Garner, David M.; Alves, Marco Stephan Lofrano; Silva, B. P. Da; Sousa, Lap; Valenti, Vítor Engrácia

doi:10.15829/1560-4071-2020-3739

Cited by 3 publications

(5 citation statements)

References 43 publications

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“…The MTM power spectrum is preferred and implemented as it has been established to statistically outperform several other power spectra (Alkan and Yilmaz 2007;Subasi 2007) when calculating chaotic global metrics (Garner et al 2020a(Garner et al , 2017. MTM (Ghil 1997) is advantageous for spectral estimation and signal reconstruction, of a time-series of a spectrum that may contain broadband and line components.…”

Section: Multi-taper Methods Power Spectrummentioning

confidence: 99%

“…Thus, the statistical hazards in the application of one are potentially compensated by the others in the CFP1 to CFP7 combinations. This is standard procedure when assessing chaotic global metrics (Bernardo et al 2014;De Souza et al 2015;Garner et al 2022Garner et al , 2020aGarner et al , 2017.…”

Section: Statistical Assessments: Mean Rmssd and Chaotic Global Vari-mentioning

confidence: 99%

“…These methods were later advanced to investigate high spectral variants and applied them to mathematical inverse problems in 2021 (Garner and Ling 2021). They had already been applied to forward problems (Garner et al 2020a(Garner et al , 2017. We computed the spectral multi-Taper Method (sMTM) for the LFPs.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Blood Pressure Variability via Chaotic Global Metrics using Local Field Potential Oscillations

Garner

Wang

Raghu

et al. 2023

Chaos Theory and Applications

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The intention was to associate blood pressure (BP) variability (BPV) measurements to Local field potentials (LFPs). Thus, assessing how LFPs can co-vary with BPV to permit implantable brain devices (via LFPs) to control output. Elevated BPV is a considerable cardiovascular disease risk factor. Often patients are resistant to pharmacotherapies. An alternative Deep Brain Stimulation (DBS) poses greater risk. Mathematical techniques based on nonlinear dynamics assessed their correlation of BPV chaotic global metrics to LFPs. Chaos Forward Parameter (CFP6) was computed for LFPs, at three electrode depths in the mid-brain and sensory thalamus. Mean, root mean square of the successive differences (RMSSD) and the chaotic global metrics were computed for the BP signal. The right ventroposterolateral (RVPL) nucleus provided a substantial correlation via CFP6 for BP with R-squared up to approximately 79%. by means of LFP gamma oscillations. Investigation of BPV via LFPs as a proxy marker might allow therapies to be attuned in a closed-loop system. Whilst all patients were chronic pain patients the chaotic global relationship should be unperturbed. LFPs correlation does not unconditionally predict its causation. There is no certainty DBS in these locations would be therapeutic but can be used as an assessment tool.

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Section: Multi-taper Methods Power Spectrummentioning

confidence: 99%

Section: Statistical Assessments: Mean Rmssd and Chaotic Global Vari-mentioning

confidence: 99%

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Monitoring Blood Pressure Variability via Chaotic Global Metrics using Local Field Potential Oscillations

Garner

Wang

Raghu

et al. 2023

Chaos Theory and Applications

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“…Methods and materials were exactly as in the studies by Barreto et al [1] and Garner et al [28]. Typically, 20-25 min of RR-intervals is sufficient for chaotic global analysis [25,29,30]. In fact, ultra-short lengths (RR≈125) of data have been effective in obese youths [31].…”

Section: Methodsmentioning

confidence: 99%

“…In that case, spectral entropy and sDFA were calculated via the Welch power spectrum [14]. Later the high spectral alternatives which performed better were established and used in both forward [25,27,29] and mathematical inverse problems [11]. These are computed by implementing the MTM power spectrum throughout [1,25].…”

Section: Chaotic Global Metrics and Cfp1 To Cfp7mentioning

confidence: 99%

Chaotic Global Metric Analysis of Heart Rate Variability Following Six Power Spectral Manipulations in Malnourished Children

Garner¹,

Vanderlei²,

Vanderlei³

et al. 2022

Series Endo Diab Met

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Background and Aim: The study objective was to assess chaotic global metrics in malnourished children following power spectral manipulations. Methods: We evaluated the complexity of heart rate (HR) variability (HRV) in malnourished subjects via six power spectra (Welch, multi-taper method (MTM), Burg, covariance, Yule-Walker, and periodogram) and then, when adjusted by the MTM parameters, for further refinement. Seventy children were split equally (controls & malnourished) and the HR was monitored for 20 min; 1000 RR-intervals were attained for HRV analysis. Results: The results stipulate that CFP1 (chaotic forward parameter) and CFP3 are the best metrics to distinguish the two groups. The most appropriate power spectra were Welch, MTM, and Yule-Walker. Results indicate that CFP3 calculated using MTM power spectra is the best combination to discriminate between the two groups. Yet, if the RR intervals are set to 400, discrete prolate spheroidal sequences (DPSS) to 3, and Thomson’s nonlinear combination to ‘adaptive’, a greater level of significance can be achieved (Cohen’s ds = -1.57). This significantly outperforms that under default conditions (Glass’s ∆ Delta = -1.06, and Cohen’s ds = -0.95). Conclusion: Malnourished children have a lower response to chaotic global metrics than the control group. CFP3 with the aforementioned settings is the best combination to discriminate between these groups on the basis of RR intervals. It has the greatest significance by Cohen’s ds. Our data suggest impaired autonomic function in malnourished children, which may have consequences for cardiovascular risks.

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Measuring and Locating Zones of Chaos and Irregularity by Application of High Spectral Chaotic Global Variants

Garner

Ling

2021

Int. J. Bifurcation Chaos

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The protocol followed was analogous to that by Garner and Ling [2014]. High spectral Entropy and high spectral Detrended Fluctuation Analysis have been established as more sensitive to the chaotic responses in forward problems in subjects with type 1 diabetes mellitus (T1DM), chronic obstructive pulmonary disease (COPD), youth obesity and child malnutrition. From 50 linearly increasing starting points, we applied the objective functions (hsCTF1 to hsCTF7) to attain an optimized value, [Formula: see text] which should increase the chaotic response when substituted back into the appropriate model. The mean percentage increase in Kolmogorov–Sinai Entropy and [Formula: see text]-values when the models were compared statistically by Kruskal–Wallis and One-way analysis of variance (ANOVA1) tests were monitored. Normal distributions were considered by Anderson–Darling, Ryan–Joiner and Lilliefors tests. Effect sizes by Cohen’ [Formula: see text] and Hedges [Formula: see text] were computed as sometimes the ANOVA1 and Kruskal–Wallis tests were not discriminative. The optimal statistical results were Duffing (hsCTF1: 29.4%); Brusselator (hsCTF6: 24.7%); Lorenz (hsCTF6: 28.8%). Multivariate analysis was required to determine which of the seven combinations of chaotic globals were most influential. Following Principal Component Analysis (PCA) hsCTF1 and hsCTF3 were the preferred objective functions delivering the highest increases in mean KS-Entropy with most influential PCA. These methods could be advantageous to increase yields and consequently profits in industrial processes such as yeast glycolysis for alcoholic beverages, Systems Biology, inverse and optimization problems, generally.

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Chaotic global analysis of heart rate variability following power spectral adjustments during exposure to traffic noise in healthy adult women

Cited by 3 publications

References 43 publications

Monitoring Blood Pressure Variability via Chaotic Global Metrics using Local Field Potential Oscillations

Monitoring Blood Pressure Variability via Chaotic Global Metrics using Local Field Potential Oscillations

Chaotic Global Metric Analysis of Heart Rate Variability Following Six Power Spectral Manipulations in Malnourished Children

Measuring and Locating Zones of Chaos and Irregularity by Application of High Spectral Chaotic Global Variants

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