Analysis of chaotic and noise processes in a fluctuating blood flow using the Allan variance technique

Басараб, М. А.; Basarab, D. A.; Коннова, Н.С.; Matsievskiy, D. D.; Matveev, V. I.

doi:10.3233/ch-168011

Cited by 6 publications

(1 citation statement)

References 5 publications

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“…[59][60][61] This leaves the coupled interaction between IA and hemodynamics, on different scales, an open question beyond any geometrical characterization attempts. Consequently, this coupled interaction inherits multilayered complexity from the morphological sophistication of the circle of Willis, 62 let alone the fluid dynamics intricacies driven by the multi-harmonic blood flow waveform which exhibits phase shifts, 63,64 non-linear dynamics, 65 and a multitude of biochemical, biophysical and mechanobiological processes. 66…”

Section: Cfd and Current Controversiesmentioning

confidence: 99%

What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review

Saqr

Rashad

Tupin

et al. 2019

J Cereb Blood Flow Metab

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Despite the plethora of published studies on intracranial aneurysms (IAs) hemodynamic using computational fluid dynamics (CFD), limited progress has been made towards understanding the complex physics and biology underlying IA pathophysiology. Guided by 1733 published papers, we review and discuss the contemporary IA hemodynamics paradigm established through two decades of IA CFD simulations. We have traced the historical origins of simplified CFD models which impede the progress of comprehending IA pathology. We also delve into the debate concerning the Newtonian fluid assumption used to represent blood flow computationally. We evidently demonstrate that the Newtonian assumption, used in almost 90% of studies, might be insufficient to describe IA hemodynamics. In addition, some fundamental properties of the Navier–Stokes equation are revisited in supplementary material to highlight some widely spread misconceptions regarding wall shear stress (WSS) and its derivatives. Conclusively, our study draws a roadmap for next-generation IA CFD models to help researchers investigate the pathophysiology of IAs.

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Section: Cfd and Current Controversiesmentioning

confidence: 99%

What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review

Saqr

Rashad

Tupin

et al. 2019

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

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The Discretization of the Energy Characteristics of Signals in Harmonic Simulation Algorithms

Gurenko

Bychkov

2019

2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

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Compression and Analysis of Ultrasonic Doppler Blood Flow Meter Data by the Discrete Chebyshev Transform

Басараб

Коннова

Basarab

2019

2019 PhotonIcs &Amp; Electromagnetics Research Symposium - Spring (PIERS-Spring)

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Analysis of chaotic and noise processes in a fluctuating blood flow using the Allan variance technique

Abstract: The methodology gives us the possibility for the more detailed quantitative and qualitative analysis of a noisy fluctuating blood flow data.

Cited by 6 publications

References 5 publications

What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review

What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review

The Discretization of the Energy Characteristics of Signals in Harmonic Simulation Algorithms

Compression and Analysis of Ultrasonic Doppler Blood Flow Meter Data by the Discrete Chebyshev Transform

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