Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115322
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dc.contributorDepartment of Biomedical Engineeringen_US
dc.contributorMainland Development Officeen_US
dc.contributorResearch Institute for Sports Science and Technologyen_US
dc.creatorSong, Yen_US
dc.creatorCen, Xen_US
dc.creatorWang, Men_US
dc.creatorGao, Zen_US
dc.creatorTan, Qen_US
dc.creatorSun, Den_US
dc.creatorGu, Yen_US
dc.creatorWang, Yen_US
dc.creatorZhang, Men_US
dc.date.accessioned2025-09-19T03:24:06Z-
dc.date.available2025-09-19T03:24:06Z-
dc.identifier.issn1303-2968en_US
dc.identifier.urihttp://hdl.handle.net/10397/115322-
dc.language.isoenen_US
dc.publisherJournal of Sport Science and Medicineen_US
dc.subjectComputational simulationen_US
dc.subjectFootwear biomechanicsen_US
dc.subjectRRMIen_US
dc.subjectRunningen_US
dc.titleA systematic review of finite element analysis in running footwear biomechanics : insights for running-related musculoskeletal injuriesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage370en_US
dc.identifier.epage387en_US
dc.identifier.volume24en_US
dc.identifier.issue2en_US
dc.identifier.doi10.52082/jssm.2025.370en_US
dcterms.abstractThis 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, includ-ing 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 meth-ods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the com-plexities of bone fracture criteria and conducting localized assess-ments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and re-searchers, facilitating more accurate investigations of foot-run-ning shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of sports science and medicine, 2025, v. 24, no. 2, p. 370-387en_US
dcterms.isPartOfJournal of sports science and medicineen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105007772932-
dc.identifier.pmid40469859-
dc.description.validate202509 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2024-2025-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was sponsored by the Research Grants Council (RGC #15211322), Shenzhen Research Fund (JCYJ20230807140414029) and the Research Institute for Sports Science and Technology (RISports) in the Hong Kong Polytechnic University. The experiments comply with the current laws of the country where they were performed. The authors have no conflict of interest to declare. The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author who organized the study.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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