Multiscale Entropy Analysis of Heart Rate Regularity Changes in Older People with Orthostatic Intolerance

Hortelano, Marcos; Reilly, Richard B.; Cervigón, Raquel

doi:10.1007/978-3-319-32703-7_13

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…On the other hand, the symptomatic OI group showed higher SampEn values in all stages, but these differences between both groups did not reach statistical significance. This different behaviour in the elderly may be is explained with physiological aging, which is associated with a reduction of autonomic control on the cardiac rhythm, demonstrated by reduction in all the time domain HRV indices [4,7,16]. Once we analyzed gender difference, we observed that the group of men illustrated a higher pathological differences, showing greater SampEn values in starting of exercise and recovery stages.…”

Section: Resultsmentioning

confidence: 88%

“…Although all of them are related to the same concept, the mathematical formulations vary among them. In previous studies have been applied to detect changes in the cardiovascular system in the pathological groups of chronic heart failure patients, patients after acute myocardial infarction (MI) and subjects during physical activity or adults with symptoms of OI [4][5][6][7]. This study focuses on examining the hemodynamic profile in older people with symptoms of OI undergoing an active stand and to investigate if their dynamic cardiovascular profile during a six-minute walk would be different to those of controls by calculating the sample entropy (SampEn).…”

Section: Introductionmentioning

confidence: 99%

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Sample Entropy Analysis of Hemodynamic Parameters in elderly with Orthostatic Intolerance Symptoms

Hortelano¹,

Reilly

Cervigón³

2016

2016 Computing in Cardiology Conference (CinC)

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This study focuses on examining the hemodynamic profile in older people with symptoms of orthostatic intolerance (OI) undergoing an active stand and to investigate if their dynamic cardiovascular profile during six-minute walk distance would be different to those of controls. The database included a total of 65 participants, aged over 70 years of age (70.11±5.85), of whom 65% were females. The participants underwent a supine to stand orthostatic test with non-invasive beat to beat systolic (SBP) and diastolic blood pressure (DBP) and inter-beat interval (R-R) monitoring. Sample Entropy (SampEn) method was calculated at each phase. R-R SampEn values showed statistically significant differences during Phase 2 and Phase 4 between symptomatic and asymptomatic OI participants. This study empathizes the importance of entropy analysis to extract information of cardiovascular signals. SampEn based measures might provide useful indicators of pathological changes in cardiac activity and be suitable for the early detection of autonomic cardiovascular dysfunction.

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Section: Resultsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Sample Entropy Analysis of Hemodynamic Parameters in elderly with Orthostatic Intolerance Symptoms

Hortelano¹,

Reilly

Cervigón³

2016

2016 Computing in Cardiology Conference (CinC)

Self Cite

View full text Add to dashboard Cite

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“…The processes is continuous, and in this way the body responds immediately to any type of environmental stress through a process called oleodynamic, 17 introduced by Yates, 18 which aims to bring back the system to the normal state of homeostasis through the continuous interaction of several mechanisms of regulation and control; 19,20 Recently, several authors have proposed new concepts to describe the dynamics of physiological systems in order to predict future health states. [21][22][23] in physics in the field of nonlinear dynamics (chaos theory) and statistical physics and the use of concept of fractals 24 to try to understand, quantify and model the aging of human body, 25,26 seen as a variation of the complexity of physiological dynamics. In fact, it has been observed that different physiological processes (heart rate, anatomy of the respiratory tract, vascular system and the intricate network of the neurological system) have fractal properties (temporal and spatial) of self-similarity; 27,28 therefore, it is becoming clear that it is necessary to consider them as complex systems, and their development over time, cannot be fully understood without using new techniques.…”

Section: Resultsmentioning

confidence: 99%

Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis

et al. 2019

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In recent years, many research groups are trying to quantify the physiological signals of an individual, proposing new models to assess the complex dynamics of biological control systems. Indeed, life coincides with the good handling of the structures in the organism and of physiological control mechanisms, while disease and death coincide with the loss of structure and of coordinated functions. The homeodynamic systems which normally govern health are the same that cause pathological events when activated inadequately, or rather, when the balance between order and chaos of the elementary physiological processes is no longer effectively controlled in relation to any type of stress, both external and internal to the body. In a complex system, loss or alteration of communication between physiological signals means pathology. In this paper a signal analysis method based on Entropy (E), Lyapunov exponent (1), Median Absolute Deviation (MAD), Multiscale Entropy (MSE), is proposed to estimate the complexity of long-range temporal correlation heart rate (HR) time series for an elderly person and a young person both healthy. These new methods could improve overall understanding of the physiological system of the human organism, by adopting new models and experimental paradigms, such as those of fractality and entropy, who have the ability to direct from an organ medicine to a modern systemic medicine.

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“…Quantifying the complexity of physiological signals of an individual suffering from a disease or in health has been the focus of considerable attention in recent years.Recently, new concepts have been developed to describe the dynamics of physiological systems in order to distinguish different levels of health and even to predict possible future health states. [12][13][14] The majority of these methods is derived from methods used in physics in the field of nonlinear dynamics (chaos theory) and statistical physics and use the concept of fractals [15][16] to try to understand, quantify and model the aging of human body, seen as a variation of the complexity of physiological dynamics.…”

Section: Complexity: Health Aging and Diseasementioning

confidence: 99%

Entropy as a method to investigate complex biological systems. An alternative view on the biological transition from healthy aging to frailty

Siciliano

2017

Geriatr Care

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Everyone is subject to a process of progressive deterioration of control mechanisms, which supervise the complex network of human physiological functions, reducing the individual ability to adapt to emerging situations of stress or change. In the light of results obtained during the last years, it appears that some of the tools of nonlinear dynamics, first developed for the physical sciences are well suited for studies of biological systems. We believe that, considering the level of order or complexity of the anatomical apparatus by measuring a physical quantity, which is the entropy, we can evaluate the health status or vice versa fragility of a biological system. In particular, a reduction in the entropy value, indicates modification of the structural order with a progressive reduction of functional reserve of the individual, which is associated with a failure to adapt to stress conditions, difficult to be analyzed and documented with a unique traditional biochemical or biomolecular vision. Therefore, in this paper, we present a method that, conceptually combines complexity, disease and aging, alloys Poisson statistics, predictive of the personal level of health, to the entropy value indicating the status of bio-dynamic and functional body, seen as a complex and open thermodynamic system.

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Multiscale Entropy Analysis of Heart Rate Regularity Changes in Older People with Orthostatic Intolerance

Cited by 6 publications

References 16 publications

Sample Entropy Analysis of Hemodynamic Parameters in elderly with Orthostatic Intolerance Symptoms

Sample Entropy Analysis of Hemodynamic Parameters in elderly with Orthostatic Intolerance Symptoms

Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis

Entropy as a method to investigate complex biological systems. An alternative view on the biological transition from healthy aging to frailty

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