Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings

Wang, Xi; Wu, Zongqian; Xiong, Ying; Qiao, Li; Tao, Xiaoming

doi:10.1016/j.cmpb.2022.107292

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…The existing and missing signi cant correlations between the limb measurements suggest that a one-size-ts-all approach may not be suitable. This nding aligns with previous research highlighting the importance of individualized garment designs tailored to athletes' unique anatomies [1,[14][15][16]. Moreover, our simulation results shed light on the challenges in achieving a uniformly decreasing pressure gradient along the limb's length.…”

Section: Simulationsupporting

confidence: 88%

Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach

Cudicio,

Cogliati,

Bonardi

et al. 2024

Preprint

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Purpose Despite compression garments (CG) having acquired significant attention in the sports field, there remains ongoing debate regarding their actual effectiveness in enhancing athletic performance and expediting post-exercise recovery. This article delves into various aspects, with a focus on CG design and the materials they are made of, aiming to analyze the importance of personalized compression strategies based on individual anthropometric measurements and non-linear compression designs. Methods Through anthropometric analysis of 40 healthy participants, this study examined the morphological characteristics of the lower limb and their implications for CG design. Results Measurements of limb length and circumferences revealed complex interactions among anatomical variables, emphasizing the need for customized and adaptable device design. Finite element simulations further clarified the challenges in achieving uniform pressure gradients along the lower limb, highlighting the limitations of one-piece devices and suggesting tailored segmented designs for individual limb segments. Conclusion The results demonstrated that while one-piece devices may offer simplicity, they often fail to provide optimal compression due to non-linear variations in limb dimensions. Conversely, segmented devices, particularly those with bilinear progression, exhibited superior performance in applying targeted compression across different limb segments. This more detailed approach to customization could significantly contribute to optimizing outcomes and user comfort.

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Section: Simulationsupporting

confidence: 88%

Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach

Cudicio,

Cogliati,

Bonardi

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…2 (c) represents the control point located in the ith row and the jth column of the corner area control grid and belonging to the patch a, the control points in parentheses and outside the parentheses are overlap with each other to achieve G0 continuity condition. The G1 continuity condition in boundary region can be expressed by equation (1) where ti is the position parameter of the control points 3…”

Section: Updating Methods Of Boundary Region Control Points Satisfyin...mentioning

confidence: 99%

“…In recent years, with continuous development of modern industry, reverse engineering has been widely used in mechanical parts processing and industrial inspection [1][2] . Unfortunately, point clouds generated by digital devices and scanners are difficult to be directly applied to computer-aided design and computer-aided manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

NURBS surface fitting from scattered point cloud combining patch growing and PSO

Gao,

Ma,

Yang

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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In order to construct high precision Non-Uniform Rational B-Spline (NURBS) surface from scattered point cloud, a new method is proposed combining patch growing and Particle Swarm Optimization (PSO). In this method, point cloud is divided into point cloud patches and fitted into NURBS patches successively. The process of fitting new point cloud patch is constrained by the previously constructed NURBS patch to achieve G1 continuity between NURBS patches. The PSO algorithm is used to construct each of the NURBS patches in just one step. The dimension of particle in the PSO algorithm is reduced so that the process of finding the best solution is simplified. The experimental results show that compared with the traditional NURBS fitting method and the NURBS fitting method using PSO algorithm, the root mean square error and the error variance are significantly reduced by using the proposed method.

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Automated detection of microfilariae parasite in blood smear using OCR-NURBS image segmentation

Kumar,

Babulal

2024

Multimed Tools Appl

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Fast NURBS-based parametric modeling of human calves with high-accuracy for personalized design of graduated compression stockings

Cited by 5 publications

References 33 publications

Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach

Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach

NURBS surface fitting from scattered point cloud combining patch growing and PSO

Automated detection of microfilariae parasite in blood smear using OCR-NURBS image segmentation

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