Design feature combinations effects of running shoe on plantar pressure during heel landing: A finite element analysis with Taguchi optimization approach

Yang, Zihan; Cui, Chuyi; Wan, Xianglin; Zheng, Zhiyi; Yan, Songhua; Liu, Hui; Feng, Qi

doi:10.3389/fbioe.2022.959842

Cited by 7 publications

(5 citation statements)

References 61 publications

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“…It has been shown that high archers have a reduced calcaneal pitch when standing in semi-customized insoles with arch support ( Eslami et al, 2009 ). In addition, the heel cup design reduces impact and increases ankle stability during running ( Manoli and Graham, 2005 ; Yang et al, 2022 ). These findings suggest that personalized orthotic insoles are effective in distributing plantar pressure during running in patients with SCF.…”

Section: Discussionmentioning

confidence: 99%

The effect of personalized orthopedic insoles on plantar pressure during running in subtle cavus foot

Ma,

Song,

Liu

2024

Front. Bioeng. Biotechnol.

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Objective: This study aims to investigate the patterns of plantar pressure distribution during running for patients with subtle cavus foot (SCF) and determine the impact of personalized orthopedic insoles with forefoot wedge on plantar pressure distribution in patients with SCF.Methods: Sixteen undergraduate participants (8 with SCF and 8 with normal arches) were recruited based on arch height index measurements. Two full-length insoles were personalized for each SCF based on plantar pressures during running, an arch support insole (ASI) and an arch support with forefoot wedge insole (AFI). Foot pressure data collected during different insole conditions in running, analyzing ten regions of footprints for peak pressure and pressure-time integral.Results: Higher peak pressures were observed in patients with SCF at the medial forefoot (p = 0.021), medial heel (p = 0.013), and lateral heel (p = 0.025), with a higher pressure-time integral also noted at the medial forefoot (p = 0.025), medial heel (p = 0.015), and lateral heel (p = 0.047) when compared to normal arches. Compared with without-insole, both the AFI and the ASI reduced peak pressure at the medial (AFI p = 0.011; ASI p = 0.024) and lateral heel (AFI p = 0.028; ASI p = 0.032). The AFI reduced peak pressure at the medial heel (p = 0.013) compared with the ASI. Both the AFI and the ASI reduced pressure-time integral at the medial forefoot (AFI p = 0.003; ASI p = 0.026), central forefoot (AFI p = 0.005; ASI p = 0.011), medial heel (AFI p = 0.017; ASI p = 0.005), and lateral heel (AFI p = 0.017; ASI p = 0.019). Additionally, the ASI reduced pressure-time integral at the big toe (p = 0.015) compared with the without-insole.Conclusion: These findings demonstrate that during running in patients with SCF, plantar pressures are concentrated in the forefoot and heel compared to the normal arch. The personalized orthotic insoles can be used to effectively redistribute plantar pressure in patients with SCF running. Incorporating a forefoot wedge to specifically address the biomechanical abnormalities associated with SCF may enhance the effectiveness of orthopedic insoles.

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Section: Discussionmentioning

confidence: 99%

The effect of personalized orthopedic insoles on plantar pressure during running in subtle cavus foot

Ma,

Song,

Liu

2024

Front. Bioeng. Biotechnol.

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“…Cushioning insoles should provide adequate cushioning while creating a safe and stable mechanical environment for the lower extremities ( Withnall et al, 2006 ). They should rapidly absorb energy and sustain low deformation when the lower extremities are subjected to large impacts ( Yang et al, 2022 ). This study used a gravity-driven impact test to quantify the energy absorption and deformation levels of three types of ACF and EVA materials.…”

Section: Discussionmentioning

confidence: 99%

The biomechanical effects of insoles with different cushioning on the knee joints of people with different body mass index grades

Jia,

Wang,

Jiang

et al. 2023

Front. Bioeng. Biotechnol.

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Background: Enhancing knee protection for individuals who are overweight and obese is crucial. Cushioning insoles may improve knee biomechanics and play a significant protective role. However, the impact of insoles with varying cushioning properties on knee joints in individuals with different body mass index (BMI) categories remains unknown. Our aim was to investigate the biomechanical effects of insoles with different cushioning properties on knee joints across different BMI grades.Methods: Gravity-driven impact tests were used to characterize the cushioning properties of three types of Artificial Cartilage Foam (ACF18, 28, and 38) and ethylene-vinyl acetate (EVA) insoles. Knee joint sagittal, coronal, and vertical axis angles and moments were collected from healthy-weight (BMI 18.5–23.9 kg/m2, n = 15), overweight (BMI 24.0–27.9 kg/m2, n = 16), and obese (BMI ≥28.0 kg/m2, n = 15) individuals randomly assigned four different insoles during a drop jump. The Kruskal–Wallis test and mixed model repeated measures analysis of variance were used to compare differences among cushioning and biomechanical data across various insoles, respectively.Results: ACF showed higher cushioning than EVA, and ACF38 was the highest among the three types of ACF (all p < 0.001). During the drop jump, the knee flexion angles and moments of the ACF insoles were lower than those of the EVA insoles, the knee adduction angles of the ACF18 and ACF28 insoles were lower than those of the EVA insoles, and ACF18 insoles increased the first cushion time (all p < 0.05) for all participants in whom biomechanical variables demonstrated no interactions between insoles and BMI. Regarding the BMI-dependent biomechanical variables, compared with the EVA insoles, ACF28 insoles decreased the knee flexion angle and ACF38 insoles decreased the knee adduction and rotation moment in the healthy-weight group; ACF18 insoles decreased the knee flexion angle and ACF38 insoles decreased the knee moment in the overweight group; ACF28 insoles decreased the knee flexion and adduction moment, and ACF38 insoles decreased the knee flexion angle and rotation moment in the obese group (all p < 0.05).Conclusion: Insoles with higher cushioning properties could improve knee biomechanics and provide better knee joint protection in people across different BMI ranges.

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“…They evaluated the viscoelastic properties between new and used shoes to assess their effectiveness over time. Yang et al [88] investigated parameters crucial for optimal sports shoe design and reducing plantar pressure. They applied the Taguchi method to determine the best combination of these parameters and validated the model using Ansys TM .…”

Section: Other Control Methodsmentioning

confidence: 99%

Product Design Trends within the Footwear Industry: A Review

Firtikiadis,

Manavis,

Kyratsis

et al. 2024

Designs

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Computer technology influences the capability to enhance the functionality of manufacturing and product design technologies. Innovations in computational design and digital manufacturing empower designers and manufacturers to create novel representations and algorithms for designing, analyzing, and planning the production of highly complicated products achievable through state-of-the-art technology. Various principles, including computational physics, geometric reasoning, and automated spatial planning, enable engineers to generate entirely new categories of products in the footwear industry. This study aims to review the methods and tools that have been published in the literature for the last twenty years, and provide a better understanding of the parameters, tools, and controls that contribute to the design and manufacturing processes of shoes. The main focus is on highlighting the product design-related trends within the footwear industry. A structured framework becomes apparent in the literature through the grouping and presentation of information. This framework facilitates drawing conclusions about the trends and existing needs derived from in-depth research in the field of footwear. Additionally, it reveals the upcoming methods and tools that will contribute to the enhancement and development of this emerging and promising industry sector. In conclusion, the categorization limitation within the footwear industry could serve as the foundation for exploring key areas to be analyzed further in other industries, for instance, in furniture, clothing, and packaging.

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Design feature combinations effects of running shoe on plantar pressure during heel landing: A finite element analysis with Taguchi optimization approach

Cited by 7 publications

References 61 publications

The effect of personalized orthopedic insoles on plantar pressure during running in subtle cavus foot

The effect of personalized orthopedic insoles on plantar pressure during running in subtle cavus foot

The biomechanical effects of insoles with different cushioning on the knee joints of people with different body mass index grades

Product Design Trends within the Footwear Industry: A Review

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