A simple approach to determine loss of physiological complexity in heart rate series

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dc.contributor.authorOzel H.F.
dc.contributor.authorKazdagli H.
dc.date.accessioned2024-07-22T08:02:42Z
dc.date.available2024-07-22T08:02:42Z
dc.date.issued2023
dc.description.abstractThere are several ways to assess complexity, but no method has yet been developed for quantitatively calculating the ‘loss of fractal complexity’ under pathological or physiological states. In this paper, we aimed to quantitatively evaluate fractal complexity loss using a novel approach and new variables developed from Detrended Fluctuation Analysis (DFA) log-log graphics. Three study groups were established to evaluate the new approach: one for normal sinus rhythm (NSR), one for congestive heart failure (CHF), and white noise signal (WNS). ECG recordings of the NSR and CHF groups were obtained from PhysioNET Database and were used for analysis. For all groups Detrended Fluctuation Analysis scaling exponents (DFAα 1, DFAα 2) were determined. Scaling exponents were used to recreate the DFA log-log graph and lines. Then, the relative total logarithmic fluctuations for each sample were identified and new parameters were computed. To do this, we used a standard log-log plane to standardize the DFA log-log curves and calculated the differences between the standardized and expected areas. We quantified the total difference in standardized areas using parameters called dS1, dS2, and TdS. Our results showed that; compared to the NSR group, DFAα 1 was lower in both CHF and WNS groups. However, DFAα 2 was only reduced in the WNSgroup and not in the CHFgroup. Newly derived parameters: dS1, dS2, and TdS were significantly lowerin the NSR group compared to the CHF and WNS groups. The new parameters derived from the DFA log-log graphs are highly distinguishing for congestive heart failure and white noise signal. In addition, it may be concluded that a potential feature of our approach can be beneficial in classifying the severity of cardiac abnormalities. © 2023 IOP Publishing Ltd.
dc.identifier.DOI-ID10.1088/2057-1976/acd254
dc.identifier.issn20571976
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/11968
dc.language.isoEnglish
dc.publisherInstitute of Physics
dc.subjectArrhythmias, Cardiac
dc.subjectFractals
dc.subjectHeart Failure
dc.subjectHeart Rate
dc.subjectHumans
dc.subjectCardiology
dc.subjectFractals
dc.subjectWhite noise
dc.subjectCongestive heart failures
dc.subjectDetrended fluctuation analysis
dc.subjectFractal complexity
dc.subjectFractal complexity loss
dc.subjectHeart rate complexity
dc.subjectHeart rate variability
dc.subjectHeart-rate
dc.subjectNoise signals
dc.subjectNormal sinus rhythm
dc.subjectScaling exponent
dc.subjectadult
dc.subjectaged
dc.subjectanalysis
dc.subjectArticle
dc.subjectclinical article
dc.subjectcomputer simulation
dc.subjectcongestive heart failure
dc.subjectcontrolled study
dc.subjectdata base
dc.subjectdetrended fluctuation analysis
dc.subjectelectrocardiogram
dc.subjectentropy
dc.subjectfemale
dc.subjectfractal analysis
dc.subjectfractal complexity loss
dc.subjectheart rate variability
dc.subjecthuman
dc.subjectmale
dc.subjectparameters
dc.subjectrelative total logarithmic fluctuation
dc.subjectRR interval
dc.subjectsinus rhythm
dc.subjecttime series analysis
dc.subjectwhite noise signal
dc.subjectfractal analysis
dc.subjectheart arrhythmia
dc.subjectheart failure
dc.subjectheart rate
dc.subjectphysiology
dc.subjectHeart
dc.titleA simple approach to determine loss of physiological complexity in heart rate series
dc.typeArticle

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