Parameterization of the Regular Component of the ECG Signal for Diagnosis of the Critical States of the Cardiovascular System

Abdullaev, N. T.; Дышин, О. А.; Gasankulieva, M. M.

doi:10.1007/s10527-016-9611-5

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Parameterization Of the Regular Part Of The Ecg Signal And D2

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2021

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“…We set M from condition 4 3 ≤ M ≤ N (in practice, take M close to N). We assume that M is an even number.…”

Section: Parameterization Of the Singular Component Of The Ecg Signalmentioning

confidence: 99%

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Flicker-Noise Spectroscopy Method in the Problem of Diagnosing the State of the Cardiovascular System

Tahir¹,

Ramiz²

2021

Data Acquisition - Recent Advances and Applications in Biomedical Engineering

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In the field of research of the cardiovascular system, mainly analysis methods that are strictly mathematically applicable to stationary signals are distinguished; however, nonstationary signals prevail in medical practice, the statistical properties of which vary with time. Often they consist of short-term high-frequency components, followed by long-term low-frequency components. Given this nature of bioelectric potentials, and in particular electrocardiographic signals, the most suitable for their analysis may be the nonlinear dynamics method with the calculation of quantitative characteristics of chaos. This possibility is presented by the flickernoise spectroscopy method, which takes into account the intermittency effect in a complex dynamic system when sections of chaotic bursts and jumps alternate with relatively long sections of a laminar nature. The analysis of signals of such a dynamic nature is usually based on the use of flicker-noise spectroscopy.

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“…We set M from condition 4 3 ≤ M ≤ N (in practice, take M close to N). We assume that M is an even number.…”

Section: Parameterization Of the Singular Component Of The Ecg Signalmentioning

confidence: 99%

“…The determination of the parameters of a chaotic signal given on a limited interval T is set on the basis of the flicker-noise spectroscopy method, taking into account the contributions of the "resonant components" to the autocorrelation function [4].…”

Section: Parameterization Of the Regular Part Of The Ecg Signal And Dmentioning

confidence: 99%

Flicker-Noise Spectroscopy Method in the Problem of Diagnosing the State of the Cardiovascular System

Tahir¹,

Ramiz²

2021

Data Acquisition - Recent Advances and Applications in Biomedical Engineering

View full text Add to dashboard Cite

show abstract

Parameterization of the Regular Component of the ECG Signal for Diagnosis of the Critical States of the Cardiovascular System

Cited by 1 publication

References 1 publication

Flicker-Noise Spectroscopy Method in the Problem of Diagnosing the State of the Cardiovascular System

Flicker-Noise Spectroscopy Method in the Problem of Diagnosing the State of the Cardiovascular System

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