Measuring the Complexity of a Physiological Time Series: a Review

Pukėnas, Kazimieras; Poderys, Jonas; Gulbinas, Remigijus

doi:10.33607/bjshs.v1i84.299

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…baroreflex) [70]. The extensive review and description of these methods is not a goal of this perspective article, but can be found in recent reviews [73,74,76,[79][80][81][82][83]. Most of these methods characterize the sensitivity of the system to the initial conditions and the resulting degree of predictability of the outputs.…”

Section: Assessing Nonlinearity and Complexity In The Cardiovascular Systemmentioning

confidence: 99%

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

Saul

Valenza

2021

Phil. Trans. R. Soc. A.

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Spontaneous beat-to-beat variations of heart rate (HR) have intrigued scientists and casual observers for centuries; however, it was not until the 1970s that investigators began to apply engineering tools to the analysis of these variations, fostering the field we now know as heart rate variability or HRV . Since then, the field has exploded to not only include a wide variety of traditional linear time and frequency domain applications for the HR signal, but also more complex linear models that include additional physiological parameters such as respiration, arterial blood pressure, central venous pressure and autonomic nerve signals. Most recently, the field has branched out to address the nonlinear components of many physiological processes, the complexity of the systems being studied and the important issue of specificity for when these tools are applied to individuals. When the impact of all these developments are combined, it seems likely that the field of HRV will soon begin to realize its potential as an important component of the toolbox used for diagnosis and therapy of patients in the clinic. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.

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Section: Assessing Nonlinearity and Complexity In The Cardiovascular Systemmentioning

confidence: 99%

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

Saul

Valenza

2021

Phil. Trans. R. Soc. A.

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“…Mathematical formalism is one of the ways to research the complexity of biological systems (Davis et al, 2010). The methods applied for the analysis of human data are very important because many crucial variables are not directly measureable or even identifiable (Torrents, Balagué, 2006;Poderys et al, 2010;Latash et al, 2010;Pukėnas et al, 2012).…”

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confidence: 99%

Dynamics of Concatenation between Cardiac Output and Indices of Arterial Blood Presure during Graded Exercise Stress in Endurance Cohort

Papievienė¹,

Trinkūnas²,

Buliuolis³

et al. 2018

BJSHS

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Research background and hypothesis. Potential mechanisms through which muscle perfusion is altered during prolonged exercise are not fully understood. The methods applied in the analysis of human data are very important because many crucial variables are not directly measureble or even identifiable.Research aim was to find out the peculiarities in concatenation between central and peripheral cardiovascular changes under conditions of increasing fatigue.Research methods. Well-trained endurance runners underwent a 50 W increase in workload (bicycle ergometry) every 6 minutes and they exercised until inability to continue the task. Dynamics of concatenation between cardiac output and systolic arterial blood pressure (ABP), diastolic ABP and total peripheral resistance were assessed using a method based on matrix theory proposed by Lithuanian scientists.Research results. The increase of cardiac output during exercising has the same tendency of stepwise increase of workload, but changes of systolic and diastolic ABP with accumulation of fatigue could be characterized as linear type dependent with the time of exercising. The concatenation between the changes in cardiac performance and behaviour of peripheral vasculature increased at onset of exercising and the decrease or loss of the concatenation led up to inability to continue exercising.Discussion and conclusions. The importance of peripheral factors, i. e. decrease of diastolic blood pressure, reduction of total peripheral vascular resistance plays an increasingly significant role for cardiac output during continuous exercising. The concatenations between the changes of these indices and cardiac output increase and in the case of high-grade fatigue concatenations begin to decline.

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Measuring the Complexity of a Physiological Time Series: a Review

Cited by 2 publications

References 21 publications

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

Dynamics of Concatenation between Cardiac Output and Indices of Arterial Blood Presure during Graded Exercise Stress in Endurance Cohort

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