Methods derived from nonlinear dynamics for analysing heart rate variability

@article{Voss2008MethodsDF,
  title={Methods derived from nonlinear dynamics for analysing heart rate variability},
  author={A. Voss and S. Schulz and R. Schroeder and M. Baumert and P. Caminal},
  journal={Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
  year={2008},
  volume={367},
  pages={277 - 296}
}
  • A. Voss, S. Schulz, +2 authors P. Caminal
  • Published 2008
  • Computer Science, Medicine
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Methods from nonlinear dynamics (NLD) have shown new insights into heart rate (HR) variability changes under various physiological and pathological conditions, providing additional prognostic information and complementing traditional time- and frequency-domain analyses. In this review, some of the most prominent indices of nonlinear and fractal dynamics are summarized and their algorithmic implementations and applications in clinical trials are discussed. Several of those indices have been… Expand
Analysis of cardiovascular oscillations using nonlinear dynamics methods for an enhanced diagnosis of heart and neurological diseases and for risk stratification
TLDR
Several of the nonlinear indices have been proven to be of diagnostic relevance or have contributed to risk stratification in CHF patients and techniques based on mono- and multi-fractal analyses and symbolic dynamics have been successfully applied to clinical studies. Expand
Analysis of acute heart dynamics in intensive care unit based on dynamic systems
Abstract Background Heart dynamics have been studied via different approaches such as heart rate variability; however, recent analyses have been incorporated from the fields of theoretical physicsExpand
Nonlinear Characterization of Heart Rate Variability in Normal Sinus Rhythm, Atrial Fibrillation and Congestive Heart Failure
TLDR
Application of nonlinear tools in normal and diseased cardiovascular states manifest their strong ability to support clinical decision support systems and highlights the internal complex properties of physiological time series data such as complexity, irregularity, determinism and recurrence trends in cardiovascular regulation mechanisms. Expand
Symbolic dynamics in cardiotocographic monitoring
Foetal heart rate variability is considered an important parameter, capable to highlight foetal reactivity and wellbeing. Many studies focused their attention on foetal heart rate variabilityExpand
Measurements of Cardiovascular Signal Complexity for Advanced Clinical Applications
TLDR
This chapter tries to identify all those techniques which resonated in the scientific community and were applied and studied more than others and considered a different set of objective criteria, based mainly on the number of citations received. Expand
Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review
TLDR
This paper reviews the nonlinear methods most used to assess heart-rate dynamics based on concepts of chaos, fractality, and complexity: Poincaré plot, recurrence plot analysis, fractal dimension, detrended fluctuation analysis, Hurst exponent, Lyapunov exponent entropies, and symbolic dynamics. Expand
Investigation of Linear and Nonlinear Properties of a Heartbeat Time Series Using Multiscale Rényi Entropy
TLDR
The value of additional information derived from the magnitude, sign and acceleration of the RR intervals provide disease categories to be discriminated and could prove useful for non-invasive diagnosis and understanding changes in heart rhythm associated with CAN. Expand
Nonlinear Analysis of Heart Rate Variability: A Comprehensive Review
TLDR
It can be concluded that the analysis of HRV in the nonlinear domain provides very useful information to characterize the appropriate autonomic balance and is a more reliable marker of complications and mortality in patients with cardiovascular disease. Expand
Complexity Variability Assessment of Nonlinear Time-Varying Cardiovascular Control
TLDR
It is shown that complexity assessments derived from simple time-averaging are not able to discern pathology-related changes in autonomic control, and it is demonstrated that between-group differences in measures of complexity variability are consistent across pathologies. Expand
Nonlinearities of heart rate variability in animal models of impaired cardiac control: contribution of different time scales.
TLDR
It is shown that nonlinear dynamics varies with time scale and the type of cardiac dysfunction, which suggests that a working baroreflex contributes to linearize HRV and to reduce the likelihood to observe nonlinear components of the cardiac control at short time scales. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 95 REFERENCES
Nonlinear dynamics of cardiovascular ageing
TLDR
It is concluded that analyses of the complex and nonlinear dynamics of the cardiovascular system can illuminate the mechanisms of blood circulation, and that the heart, the lungs and the vascular system function as a single entity in dynamical terms. Expand
The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death.
TLDR
The methods of NLD describe complex rhythm fluctuations and separate structures of non-linear behavior in the heart rate time series more successfully than classical methods of time and frequency domains, leading to an improved discrimination between a normal (healthy persons) and an abnormal (high risk patients) type of heart beat generation. Expand
Quantitative analysis of heart rate variability.
TLDR
Some complexity measures that are based on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abnormalities in the HRV of several patients who have been classified in the low risk group by traditional methods. Expand
Linear and non-linear 24 h heart rate variability in chronic heart failure
TLDR
The information content present in spectral and non-linear analysis ofHRV in CHF patients has prognostic relevance independently from the time domain measures of HRV, and the reduction of LF power seems the best indicator among those considered. Expand
Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics.
TLDR
It is demonstrated that HRV analysis of ambulatory ECG recordings based on fully automated methods can have prognostic value in a population-based study and that nonlinear HRV indices may contribute prognosticvalue to complement traditional HRV measures. Expand
Heart rate variability analysis.
TLDR
Various cardiovascular and other pathologies as well as different forms of mental and physical load are associated with altered heart rate variability offering the possibility of predicting disease outcome and assessing stress. Expand
Application of linear and nonlinear time series modeling to heart rate dynamics analysis
TLDR
The apparent superiority of the nonlinear bilinear model suggests that future heart rate dynamics studies should put greater emphasis on nonlinear analyses, as it had a smaller residual variance than either the ARMA or PAR models. Expand
Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients
TLDR
The results demonstrate the existence of selective links between non-linear indexes of HRV and the clinical status and functional impairment of CHF patients and indicates that further studies should be designed to investigate the physiopathological mechanisms involved in such links. Expand
Aging and nonlinear heart rate control in a healthy population.
TLDR
The effect of gender and age on nonlinear indexes was investigated and higher nonlinear behavior was evident during the night, related to the concept of decreasing autonomic modulation with advancing age. Expand
Multiparametric Analysis of Heart Rate Variability Used for Risk Stratification Among Survivors of Acute Myocardial Infarction
TLDR
In this population, the multiparametric approach with the combination of four parameters from all domains especially from NLD seems to be a better predictor of high arrhythmia risk than the standard measurement of global heart rate variability. Expand
...
1
2
3
4
5
...