How random is your heart beat?

Urbanowicz, Krzysztof; Żebrowski, Jan J.; Baranowski, Rafał; Hołyst, Janusz A.

doi:10.1016/j.physa.2007.05.052

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…A similar result was obtained in Ref. 32, where it was shown by a completely independent method that the uncorrelated noise content in the HRV of both the normals and cardiac arrest patients was small while correlated processes are a main source of the variability. Here, we went one step further and pointed at the mechanism of RSA as a source of the correlation.…”

Section: Discussionsupporting

confidence: 87%

On the nature of heart rate variability in a breathing normal subject: A stochastic process analysis

Buchner

Petelczyc

Żebrowski

et al. 2009

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Human heart rate is moderated by the autonomous nervous system acting predominantly through the sinus node (the main cardiac physiological pacemaker). One of the dominant factors that determine the heart rate in physiological conditions is its coupling with the respiratory rhythm. Using the language of stochastic processes, we analyzed both rhythms simultaneously taking the data from polysomnographic recordings of two healthy individuals. Each rhythm was treated as a sum of a deterministic drift term and a diffusion term (Kramers-Moyal expansion). We found that normal heart rate variability may be considered as the result of a bidirectional coupling of two nonlinear oscillators: the heart itself and the respiratory system. On average, the diffusion (noise) component measured is comparable in magnitude to the oscillatory (deterministic) term for both signals investigated. The application of the Kramers-Moyal expansion may be useful for medical diagnostics providing information on the relation between respiration and heart rate variability. This interaction is mediated by the autonomous nervous system, including the baroreflex, and results in a commonly observed phenomenon--respiratory sinus arrhythmia which is typical for normal subjects and often impaired by pathology.

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Section: Discussionsupporting

confidence: 87%

On the nature of heart rate variability in a breathing normal subject: A stochastic process analysis

Buchner

Petelczyc

Żebrowski

et al. 2009

Chaos: An Interdisciplinary Journal of Nonlinear Science

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“…In subjects with atrial fibrillation, the RR series show very large uncorrelated fluctuations if compared with normals and other pathologies (see, for instance, Urbanowicz et al [15] and references therein).…”

Section: Application To Atrial Fibrillationmentioning

confidence: 99%

“…We consider here the time series of RR intervals (see below) extracted from the electrocardiograms (ECG). The amount of randomness in these series has been widely investigated in physical literature related to various normal and pathological conditions (see for instance Urbanowicz et al [15] and references therein). In some pathologies, such as atrial fibrillation, the RR series is characterized by a high level of uncorrelated noise.…”

Section: Introductionmentioning

confidence: 99%

The difference-sign runs length distribution in testing for serial independence

Cammarota

2011

Journal of Applied Statistics

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We investigate the sequence of difference-sign runs length of a time series in the context of non-parametric tests for serial independence. This sequence is, under suitable conditioning, a stationary sequence and we prove that the normalized correlation of two consecutive runs length is small (≈0.0427).We use this result in a test based on the relative entropy of the empirical distribution of the runs length. We investigate the performance of the test in simulated series and test serial independence of cardiac data series in atrial fibrillation. © 2011 Taylor & Francis

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“…Easy access to massive amounts of high frequency data about humans -their health [1,2] and their responses (also remote) [3,4,5,6] -is an important fruit of the so-called Big data science [7,8,9]. In this scope psychophysiological information that can be transformed into undisputed facts/relations concerning our vitals organs [10] is of utmost importance.…”

Section: Introductionmentioning

confidence: 99%

Temporal Taylor’s scaling of facial electromyography and electrodermal activity in the course of emotional stimulation

Chołoniewski

Chmiel

Sienkiewicz

et al. 2016

Chaos, Solitons & Fractals

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High frequency psychophysiological data create a challenge for quantitative modeling based on Big Data tools since they reflect the complexity of processes taking place in human body and its responses to external events. Here we present studies of fluctuations in facial electromyography (fEMG) and electrodermal activity (EDA) massive time series and changes of such signals in the course of emotional stimulation. Zygomaticus major (ZYG; "smiling" muscle) activity, corrugator supercilii (COR; "frowning" muscle) activity, and phasic skin conductance (PHSC; sweating) levels of 65 participants were recorded during experiments that involved exposure to emotional stimuli (i.e., IAPS images, reading and writing messages on an artificial online discussion board). Temporal Taylor's fluctuations scaling were found when signals for various participants and during various types of emotional events were compared. Values of scaling exponents were close to 1, suggesting an external origin of system dynamics and/or strong interactions between system's basic elements (e.g., muscle fibres). Our statistical analysis shows that the scaling exponents enable identification of high valence and arousal levels in ZYG and COR signals.

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How random is your heart beat?

Cited by 7 publications

References 25 publications

On the nature of heart rate variability in a breathing normal subject: A stochastic process analysis

On the nature of heart rate variability in a breathing normal subject: A stochastic process analysis

The difference-sign runs length distribution in testing for serial independence

Temporal Taylor’s scaling of facial electromyography and electrodermal activity in the course of emotional stimulation

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