Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation

Almeida, Tiago P.; Schlindwein, Fernando S.; Salinet, João; Li, Xin; Chu, Geoffrey; Tuan, Jiun; Stafford, Peter J.; Ng, Guseva; Soriano, Diogo C.

doi:10.22489/cinc.2017.196-321

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The CFE mean calculation was implemented in Matlab according to the description given by Almeida et al (2013). DF is defined as the maximum peak in the power spectrum.…”

Section: Established Methods For Detecting Cfaementioning

confidence: 99%

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

et al. 2015

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Complex fractionated atrial electrograms provide an important tool for identifying arrhythmogenic substrates that can be used to guide catheter ablation for atrial fibrillation (AF). However, fractionation is a phenomenon that remains unclear. This paper aims to evaluate the multifractal properties of electrograms in AF in order to propose a method based on multifractal analysis able to discriminate between different levels of fractionation. We introduce a new method, the h-fluctuation index (hFI), where h is the generalised Hurst exponent, to extract information from the shape of the multifractal spectrum. Two multifractal frameworks are evaluated: multifractal detrended fluctuation analysis and wavelet transform modulus maxima. hFI is exemplified through its application in synthetic signals, and it is evaluated in a database of electrograms labeled on the basis of four degrees of fractionation. We compare the performance of hFI with other indexes, and find that hFI outperforms them. The results of the study provide evidence that multifractal analysis is useful for studying fractionation phenomena in AF electrograms, and indicate that hFI can be proposed as a tool for grade fractionation associated with the detection of target sites for ablation in AF.

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“…The CFE mean calculation was implemented in Matlab according to the description given by Almeida et al (2013). DF is defined as the maximum peak in the power spectrum.…”

Section: Established Methods For Detecting Cfaementioning

confidence: 99%

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

et al. 2015

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Recurrence quantification analysis for fine-scale characterisation of arrhythmic patterns in cardiac tissue

Halfar¹,

Lawson²,

Santos³

et al. 2023

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This paper uses recurrence quantification analysis (RQA) combined with entropy measures and organization indices to characterize arrhythmic patterns and dynamics in computer simulations of cardiac tissue. We performed different simulations of cardiac tissues of sizes comparable to the human heart atrium. In these simulations, we observed four classic arrhythmic patterns: a spiral wave anchored to a highly fibrotic region resulting in sustained re-entry, a meandering spiral wave, fibrillation, and a spiral wave anchored to a scar region that breaks up into wavelets away from the main rotor. A detailed analysis revealed that, within the same simulation, maps of RQA metrics could differentiate regions with regular AP propagation from ones with chaotic activity. In particular, the combination of two RQA metrics, the length of the longest diagonal string of recurrence points and the mean length of diagonal lines, was able to identify the location of rotor tips, which are the active elements that maintain spiral waves and fibrillation. By proposing low-dimensional models based on the mean value and spatial correlation of metrics calculated from membrane potential time series, we identify RQA-based metrics that successfully separate the four different types of cardiac arrhythmia into distinct regions of the feature space, and thus might be used for automatic classification, in particular distinguishing between fibrillation driven by self-sustaining chaos and that created by a persistent rotor and wavebreak. We also discuss the practical applicability of such an approach.

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Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation

Cited by 2 publications

References 15 publications

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation

Recurrence quantification analysis for fine-scale characterisation of arrhythmic patterns in cardiac tissue

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