Critical analysis of autoregressive and fast Fourier transform markers of cardiovascular variability in rats and humans

Silva, G.J.J.; Ushizima, M.R.; Lessa, Patrícia Silva; Cardoso, Leandro Lunardini; Drager, LF; Atala, Magda Maya; Consolim‐Colombo, Fernanda Marciano; Lopes, Heno Ferreira; Cestari, Idágene Aparecida; Krieger, José Eduardo; Em, Krieger

doi:10.1590/s0100-879x2009000400012

Cited by 23 publications

(33 citation statements)

References 25 publications

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“…Indices were determined by the AR method demonstrating that model orders from 9 to 25 produce similar results. According to the Task Force (1996), results of FFT analyses are comparable to those of AR (Task Force, 1996), although more recent work is characterized by disagreement in adult populations (Silva et al, 2009) and even in 5-month-old infants (Poliakova et al, 2014). There are some possible explanations for these discrepancies including preprocessing steps, such as interpolation and de-trending, as well as the processing itself.…”

Section: Discussionmentioning

confidence: 99%

Reference values for short‐term resting‐state heart rate variability in healthy adults: Results from the Brazilian Longitudinal Study of Adult Health—ELSA‐Brasil study

et al. 2018

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Heart rate variability (HRV) is a psychophysiological phenomenon with broad implications, providing an accessible index of vagal function, underpinning psychological constructs, including the capacity for social engagement and emotion regulation, and may predict future morbidity and mortality. However, the lack of reference values for short-term HRV indices for participants of both sexes across the age spectrum is a limiting factor. This was the objective of the present study. Resting electrocardiographic records were obtained from 13,214 participants (both sexes, 35-74 years), and HRV indices in time and frequency domains (mean ± SD) were determined from 5-min records. Results were based on a subsample of 2,874 nonmedicated, healthy participants stratified by sex across 10-year age groupings. Men showed lower heart rate (HR, 64 ± 8 bpm vs. 68 ± 8 bpm, p < .05) and normalized high frequency (HF; 39.4 ± 18.0 normalized units [n.u.] vs. 50.4 ± 18.5 n.u., p < .05) than women, and higher N-N variance (2,214 ± 1,890 ms vs. 1,883 ± 1,635 ms , p < .05), standard deviation of all N-N intervals (SDNN; 43.7 ± 17.3 ms vs. 40.3 ± 15.8 ms, p < .05) and LF/HF (2.30 ± 2.68 vs. 1.33 ± 1.82, p < .05). HR and HF (n.u.) were also higher in younger than older women. LF/HF was lower in women than men. Percentile curves showed almost all HRV indices decreasing with aging. The availability of short-term, resting-state HRV reference values in a large sample of healthy and nonmedicated participants from 35-74 years will provide a valuable tool for researchers, clinicians, and those in the quantified-self community.

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Section: Discussionmentioning

confidence: 99%

Reference values for short‐term resting‐state heart rate variability in healthy adults: Results from the Brazilian Longitudinal Study of Adult Health—ELSA‐Brasil study

et al. 2018

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“…RSA corresponds to the respiratory frequency, 0.15–0.4 Hz, equivalent to the HF band range. Low frequency (LF: 0.04–0.15 Hz) HRV is thought to reflect both sympathetic and parasympathetic effects on HRV (Berntson et al, 1997; Silva et al, 2009). Less is known about the controlling factors of very low frequency (VLF: 0.0033–0.04 Hz) HRV.…”

Section: Introductionmentioning

confidence: 99%

The variable heart: High frequency and very low frequency correlates of depressive symptoms in children and adolescents

Blood

Chaplin

et al. 2015

Journal of Affective Disorders

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Background Work examining the link between lower heart rate variability (HRV) and depression in children and adolescents is lacking, especially in light of the physiological changes that occur during pubertal development. Method We investigated the association between spectral measures of resting HRV and depressive symptoms among 127 children and adolescents, ages 10–17. Using spectral analysis, we evaluated (1) the association between relative high frequency (HF) HRV and depressive symptoms; (2) the predictive power of relative HF HRV for depressive symptoms in the context of relative low frequency (LF) and relative very low frequency (VLF) HRV; and (3) the relationship between relative HF, LF, and VLF band activity, age and pubertal maturation. Results Consistent with previous work, results revealed that relative HF HRV was negatively associated with self-reported depressive symptoms. As well, relative VLF HRV was positively associated with depressive symptoms. Regression analyses revealed that relative HF HRV and relative VLF HRV significantly predicted self-report depressive symptoms while controlling for age, sex and pubertal maturation, with relative VLF HRV emerging as the strongest indicator of depressive symptoms. Developmental findings also emerged. Age and pubertal maturation were negatively associated with relative HF HRV and positively correlated with relative VLF HRV. Conclusions Results provide support for the relationship between HRV and depression and suggest that both HF and VLF HRV are relevant to depression symptom severity. Findings also reinforce the importance of considering pubertal development when investigating HRV-depression associations in children and adolescents. Limitations Influences on cardiac control including physical activity levels and exercise patterns could be controlled in future work. Our data speak to a depressive symptom dimension and relative spectral power HRV. Thus, we cannot make strong claims about relative spectral power HRV and clinical depression.

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“…In rats, the components of VLF to HF of HRV power spectra vary between 0.0 and 3.0 Hz (Task force, 1996; Baltatu et al, 2001; Bezerra et al, 2001; Ushizima et al, 2001; Silva et al, 2009), while in mice, the components of LF to HF vary between 0.1 and 5.0 Hz (Ishii et al, 1996; Joaquim et al, 2004; Baudrie et al, 2007). …”

Section: Introductionmentioning

confidence: 99%

Mathematical biomarkers for the autonomic regulation of cardiovascular system

Campos¹,

Pereira²,

Muralikrishna³

et al. 2013

Front. Physiol.

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Heart rate and blood pressure are the most important vital signs in diagnosing disease. Both heart rate and blood pressure are characterized by a high degree of short term variability from moment to moment, medium term over the normal day and night as well as in the very long term over months to years. The study of new mathematical algorithms to evaluate the variability of these cardiovascular parameters has a high potential in the development of new methods for early detection of cardiovascular disease, to establish differential diagnosis with possible therapeutic consequences. The autonomic nervous system is a major player in the general adaptive reaction to stress and disease. The quantitative prediction of the autonomic interactions in multiple control loops pathways of cardiovascular system is directly applicable to clinical situations. Exploration of new multimodal analytical techniques for the variability of cardiovascular system may detect new approaches for deterministic parameter identification. A multimodal analysis of cardiovascular signals can be studied by evaluating their amplitudes, phases, time domain patterns, and sensitivity to imposed stimuli, i.e., drugs blocking the autonomic system. The causal effects, gains, and dynamic relationships may be studied through dynamical fuzzy logic models, such as the discrete-time model and discrete-event model. We expect an increase in accuracy of modeling and a better estimation of the heart rate and blood pressure time series, which could be of benefit for intelligent patient monitoring. We foresee that identifying quantitative mathematical biomarkers for autonomic nervous system will allow individual therapy adjustments to aim at the most favorable sympathetic-parasympathetic balance.

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Critical analysis of autoregressive and fast Fourier transform markers of cardiovascular variability in rats and humans

Cited by 23 publications

References 25 publications

Reference values for short‐term resting‐state heart rate variability in healthy adults: Results from the Brazilian Longitudinal Study of Adult Health—ELSA‐Brasil study

Reference values for short‐term resting‐state heart rate variability in healthy adults: Results from the Brazilian Longitudinal Study of Adult Health—ELSA‐Brasil study

The variable heart: High frequency and very low frequency correlates of depressive symptoms in children and adolescents

Mathematical biomarkers for the autonomic regulation of cardiovascular system

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