A Systematic Review of Finite Element Analysis in Running Footwear Biomechanics: Insights for Running-Related Musculoskeletal Injuries.
This study presented a systematic review of recent advancements in the application of finite element (FE) methods to running and running shoe biomechanics. It focused on outlining the general approach to build foot-running shoe FE models, exploring their current applications and challenges, and prov...
| Publicado en: | Journal of Sports Science & Medicine Vol. 24; no. 2; pp. 370 - 388 |
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| Autores principales: | , , , , , , , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Hakan Gur, Journal of Sports Science & Medicine
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186547383&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186547383 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13032968 FYN jtl: Journal of Sports Science & Medicine issn: 13032968 maglogo: N pubinfo: dt: Jun2025 vid: 24 iid: 2 pid: 26030 pub: Hakan Gur, Journal of Sports Science & Medicine artinfo: ui: 186547383 186547383 186547383 10.52082/jssm.2025.370 186547383 ppf: 370 ppct: 18 formats: fmt: @attributes: type: P tig: atl: A Systematic Review of Finite Element Analysis in Running Footwear Biomechanics: Insights for Running-Related Musculoskeletal Injuries. aug: au: Yang Song Xuanzhen Cen Meizi Wang Zixiang Gao Qitao Tan Dong Sun Yaodong Gu Yan Wang Ming Zhang affil: Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China sug: subj: Finite Element Analysis Running Physiology Athletic Shoes Biomechanics Musculoskeletal System Injuries Running Injuries Prevention and Control Risk Assessment Running Injuries Risk Factors Human Systematic Review PubMed Models, Structural Artificial Intelligence Utilization Equipment Design Computer Simulation Descriptive Statistics Funding Source ab: This study presented a systematic review of recent advancements in the application of finite element (FE) methods to running and running shoe biomechanics. It focused on outlining the general approach to build foot-running shoe FE models, exploring their current applications and challenges, and providing directions for future research. The review also aimed to highlight the gap between theoretical mechanical responses in simulations and real-world manifestations of running-related musculoskeletal injuries (RRMI). A comprehensive search of electronic databases, including Web of Science, PubMed, and Scopus, identified 12 eligible articles for inclusion in this review. Current studies have examined the effects of various running shoe design features and conditions on the mechanical response of internal foot tissues using foot-running shoe FE models. These models have gradually evolved from simplified local representations to more realistic and comprehensive models, with the incorporation of experimental data enhancing simulation accuracy. However, to further improve simulation outcomes, key advancements are proposed to reduce development time and enhance model robustness. These include high-fidelity 3D model development, personalized shape transformation, AI-driven automated reconstruction, comprehensive dynamic running simulations, and improved validation methods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the complexities of bone fracture criteria and conducting localized assessments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and researchers, facilitating more accurate investigations of foot-running shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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