Nonlinear Indices of Heart Rate Variability in Chronic Heart Failure Patients: Redundancy and Comparative Clinical Value

Maestri, Roberto; Pinna, Gian Domenico; Accardo, Agostino; Allegrini, Paolo; Balocchi, R.; D’Addio, Giovanni; Ferrario, Manuela; Menicucci, Danilo; Porta, Alberto; Sassi, Roberto; Signorini, M.G.; Rovere, Maria Teresa La; Cerutti, S.

doi:10.1111/j.1540-8167.2007.00728.x

Cited by 125 publications

(111 citation statements)

References 42 publications

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“…The formation of these movement-related heart rate accelerations indicates an increasingly coordinated and hence integrated behavior. In a multiscale entropy (MSE) analysis of age subgroups (20)(21)(22)(23)(24)(25)(26)(27)(28)(29) 35-40 WGA), we found increasing short scale and decreasing long scale complexity (16). In any growing and developing system, a rise in complexity is a typical sign of the increasing number of elements involved, whereas decreasing complexity is seen as an indication of synchronization and regularization of these elements.…”

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confidence: 91%

“…Moreover, it is self-evident that the isolated activity of one particular autonomic branch cannot explain the complex integrative control mediated by the ANS. Hence, it is not surprising that integrative indices of conventional linear analysis [standard deviation of NN intervals (SDNN), VLF, see Table 1] and potentially more adequate complexity indices provided relevant diagnostic and prognostic values in several clinical studies of adult patients (e.g., 13,18,25,36,43) as well as with regard to the normal fetal maturation (e.g, 16,48,52).…”

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confidence: 99%

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Fetal development of complex autonomic control evaluated from multiscale heart rate patterns

Hoyer

Nowack

Bauer

et al. 2013

American Journal of Physiology-Regulatory, Integrative and Comp

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U. Fetal development of complex autonomic control evaluated from multiscale heart rate patterns. Am J Physiol Regul Integr Comp Physiol 304: R383-R392, 2013. First published December 26, 2012 doi:10.1152/ajpregu.00120.2012.-Development of the fetal autonomic nervous system's integrative capacity in relation to gestational age and emerging behavioral pattern is reflected in fetal heart rate patterns. Conventional indices of vagal and sympathetic rhythms cannot sufficiently reflect their complex interrelationship. Universal behavioral indices of developing complex systems may provide additional information regarding the maturating complex autonomic control. We investigated fetal magnetocardiographic recordings undertaken at 10-min intervals in active (n ϭ 248) and quiet (n ϭ 111) states between 22 and 39 wk gestational age. Standard deviation of heartbeat intervals, skewness, contribution of particular rhythms to the total power, and multiscale entropy were analyzed. The multiscale entropy methodology was validated for 10-min data sets. Age dependence was analyzed by linear regression. In the quiet state, contribution of sympathovagal rhythms and their complexity over a range of corresponding short scales increased with rising age, and skewness shifted from negative to positive values. In the active state, age dependencies were weaker. Skewness as the strongest parameter shifted in the same direction. Fluctuation amplitude and the complexity of scales associated with sympathovagal rhythms increased. We conclude that in the quiet state, stable complex organized rhythms develop. In the active state, however, increasing behavioral variability due to multiple internal coordinations, such as movement-related heart rate accelerations, and external influences develop. Hence, the state-selective assessment in association with developmental indices used herein may substantially improve evaluation of maturation age and early detection and interpretation of developmental problems in prenatal diagnosis. autonomic nervous system; complexity; developmental biology; fetal maturation; fetal behavioral patterns THERE IS INCREASING CONSENSUS that a certain number of diseases such as cardiovascular disease, metabolic syndrome, atherosclerosis, Type 2 diabetes, learning difficulties, hyperkinetic disorders, as well as cognitive, behavioral, and emotional problems in late postnatal age are associated with adverse influences during fetal development that became permanently programmed (1,2,4,10,11,19,20,23,24,26,31,32,39,40,44,47). However, early identification of fetal developmental problems is a challenging topic of prenatal diagnosis due to the extremely limited number of observable variables from the fetus. During the fetal maturation the emerging complex behavioral patterns are associated with an increasing functional integration in the organism. In that connection the autonomic nervous system (ANS) plays a predominant role for complex coordinated control of multiple vitally important physiological subsystems in the organism. Sin...

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confidence: 99%

Fetal development of complex autonomic control evaluated from multiscale heart rate patterns

Hoyer

Nowack

Bauer

et al. 2013

American Journal of Physiology-Regulatory, Integrative and Comp

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“…This allowed for the evaluation of chaotic activity demonstrating the relation between time courses and initial conditions [5][6][7][8]. The most often analyzed parameter in this way is a heart rate variability in a 24-hours recording of ECG signal with the use of the Holter method [9,10]. In this paper, the registered courses are many times shorter (from 25 to 100 cycles of heart beat) and the most interesting and evaluated feature is repeatability of the mechanical course of heart contraction.…”

Section: Recurrence Plotsmentioning

confidence: 99%

The use of recurrence plots and beat recordings in chronic heart failure detection

Lewenstein

Jamroży

Leyko³

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Chronic heart failure is a syndrome consisting in clinical symptoms that arise as a result of complications of many disease entities. According to the definition it is a condition in which, as a consequence of permanent heart dysfunction, cardiac output is reduced in relation to tissues' metabolic demand. This results in subjective symptoms or proper cardiac output is sustained over higher filling pressure of the left heart ventricle. The occurrence of disease among adults in Europe and North America is 0.4-2%. Heart dysfunction detected by echocardiography appears with the frequency of 3%, and in people over 60 years of age it doubles with each decade of life, reaching 10% after 80 years of age. The aim of the study is to make an acquisition of fremitus in apex beat place and quantitative evaluation of some of their features which are correlated with the advanced syndrome. We have built the apparatus for the heart signal recording and proposed the original method of its analysis based on the theory of chaos and recurrence plots. It gave us, on the group of 85 patients, sensitivity equal to 0.896 specificity equal to 0.676 and the accuracy of diagnostics of the chronic heart failure equal up to 80%.

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“…Hence, the analysis of HRV signals using linear methods and features may miss useful information. In [25], the analysis of the nonlinear properties of HRV gives independent information in the risk stratification of patients with CHF. In [26], complex Poincare plots are observed for the CHF patients.…”

Section: Introductionmentioning

confidence: 99%

Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals

Kumar

Pachori

Acharya

2017

Entropy

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Abstract:In the present work, an automated method to diagnose Congestive Heart Failure (CHF) using Heart Rate Variability (HRV) signals is proposed. This method is based on Flexible Analytic Wavelet Transform (FAWT), which decomposes the HRV signals into different sub-band signals. Further, Accumulated Fuzzy Entropy (AFEnt) and Accumulated Permutation Entropy (APEnt) are computed over cumulative sums of these sub-band signals. This provides complexity analysis using fuzzy and permutation entropies at different frequency scales. We have extracted 20 features from these signals obtained at different frequency scales of HRV signals. The Bhattacharyya ranking method is used to rank the extracted features from the HRV signals of three different lengths (500, 1000 and 2000 samples). These ranked features are fed to the Least Squares Support Vector Machine (LS-SVM) classifier. Our proposed system has obtained a sensitivity of 98.07%, specificity of 98.33% and accuracy of 98.21% for the 500-sample length of HRV signals. Our system yielded a sensitivity of 97.95%, specificity of 98.07% and accuracy of 98.01% for HRV signals of a length of 1000 samples and a sensitivity of 97.76%, specificity of 97.67% and accuracy of 97.71% for signals corresponding to the 2000-sample length of HRV signals. Our automated system can aid clinicians in the accurate detection of CHF using HRV signals. It can be installed in hospitals, polyclinics and remote villages where there is no access to cardiologists.

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Nonlinear Indices of Heart Rate Variability in Chronic Heart Failure Patients: Redundancy and Comparative Clinical Value

Abstract: This exploratory study provides evidence that, despite some redundancies in the informative content of nonlinear indices and strong differences in their prognostic power, quantification of nonlinear properties of HRV provides independent information in risk stratification of CHF patients.

Cited by 125 publications

References 42 publications

Fetal development of complex autonomic control evaluated from multiscale heart rate patterns

Fetal development of complex autonomic control evaluated from multiscale heart rate patterns

The use of recurrence plots and beat recordings in chronic heart failure detection

Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals

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