Lumped Parameter Modelling in Femoral Popliteal Artery for Normal and Severe Conditions

Kaha, Asrizan; Taib, Ishkrizat; Paisal, Muhammad Sufyan Amir; Arifin, Ahmad Mubarak Tajul; Ismail, Al Emran; Asmuin, Norzelawati; Haq, Reazul Haq Abdul; Chatpun, Surapong; Yamamoto, Takahisa; Osman, Kahar

doi:10.30880/ijie.2018.10.05.029

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…This model has a length (L) of 109 mm between of proximal and distal end and the diameter (d) of 7.4 mm as shown in Figure 1. The simplified of the FPA was modelled based on the previous finding by Kaha et al [9]. This simplification was made due consideration of the complexity of the strut configuration being inserted at the arterial region.…”

Section: Methodology 21 Simplified Geometry Model Of Stented Femoral ...mentioning

confidence: 99%

“…These assumptions were made to avoid the complexity of unnecessary data being applied on the simulation which might be affected the accuracy of the data. The assumptions parameters were considered as fluid having a constant density of 1060kg/𝑚 3 and viscosity of 0.0035 kg/m-s [9]. The Reynolds number is the ratio of inertial forces to viscous forces.…”

Section: Parameter Assumptions and Boundary Conditionmentioning

confidence: 99%

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Analysis of Hemodynamic Effect on Different Stent Strut Configuration in Femoral Popliteal Artery during the Physical and Physiological Conditions

Razhali

Taib

Nasir

et al. 2022

ARASET

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Peripheral arterial disease (PAD) is a narrowing of the peripheral arteries that might result in blockage if not immediately treated. Normally, an invasive technique called stenting is used at the stenosed arterial region to restore normal blood flow. Thus, it promotes the formation of thrombosis on the stented artery due to the presenting flow recirculation. However, the rate of thrombosis growth was reported to be different for both genders. This is due to an increase in body surface area, body mass index, and weight of the body. Thus, this study aims to investigate the effect of the physiological and physical conditions of men and women with different hemodynamic parameters on the strut configuration in FPA. Five different stent strut configurations were modelled and inserted into the FPA. The computational fluid dynamic (CFD) method was implemented to solve the continuity and N-S equations. The hemodynamic performance of the stent was analyzed based on hemodynamic parameters consisting of time- averaged wall shear stress (TAWSS), time-averaged wall shear stress gradient (TAWSSG), oscillatory shear index (OSI), and relative residence time (RRT). According to the observations, the distal region of the stented FPA had more dominant flow re-circulation than the proximal region. The high void area contributed to less growth of the thrombosis.

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Section: Methodology 21 Simplified Geometry Model Of Stented Femoral ...mentioning

confidence: 99%

Section: Parameter Assumptions and Boundary Conditionmentioning

confidence: 99%

Analysis of Hemodynamic Effect on Different Stent Strut Configuration in Femoral Popliteal Artery during the Physical and Physiological Conditions

Razhali

Taib

Nasir

et al. 2022

ARASET

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On building machine learning models for medical dataset with correlated features

Nayak,

Tantravahi

2024

Computational and Mathematical Biophysics

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This work builds machine learning models for the dataset generated using a numerical model developed on an idealized human artery. The model has been constructed accounting for varying blood characteristics as it flows through arteries with variable vascular properties, and it is applied to simulate blood flow in the femoral and its continued artery. For this purpose, we designed a pipeline model consisting of three components to include the major segments of the femoral artery: CFA, the common femoral artery and SFA, the superficial artery, and its continued one, the popliteal artery (PA). A notable point of this study is that the features and target variables of the former component pipe form the set of features of the latter, thus resulting in multicollinearity among the features in the third component pipe. Thus, we worked on understanding the effect of these correlated features on the target variables using regularized linear regression models, ensemble, and boosting algorithms. This study highlighted the blood velocity in CFA as the primary influential factor for wall shear stress in both CFA and SFA. Additionally, it established the blood rheology in PA as a significant factor for the same in it. Nevertheless, because the study relies on idealized conditions, these discoveries necessitate thorough clinical validation.

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Lumped Parameter Modelling in Femoral Popliteal Artery for Normal and Severe Conditions

Cited by 2 publications

References 7 publications

Analysis of Hemodynamic Effect on Different Stent Strut Configuration in Femoral Popliteal Artery during the Physical and Physiological Conditions

Analysis of Hemodynamic Effect on Different Stent Strut Configuration in Femoral Popliteal Artery during the Physical and Physiological Conditions

On building machine learning models for medical dataset with correlated features

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