Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115322
DC FieldValueLanguage
dc.contributorDepartment of Biomedical Engineering-
dc.contributorResearch Institute for Sports Science and Technology-
dc.creatorSong, Y-
dc.creatorCen, X-
dc.creatorWang, M-
dc.creatorGao, Z-
dc.creatorTan, Q-
dc.creatorSun, D-
dc.creatorGu, Y-
dc.creatorWang, Y-
dc.creatorZhang, M-
dc.date.accessioned2025-09-19T03:24:06Z-
dc.date.available2025-09-19T03:24:06Z-
dc.identifier.issn1303-2968-
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.subjectBiomechanicsen_US
dc.subjectEquipment designen_US
dc.subjectFinite element analysisen_US
dc.subjectFooten_US
dc.subjectHumanen_US
dc.subjectInjuryen_US
dc.subjectPhysiologyen_US
dc.subjectPrevention and controlen_US
dc.subjectRunningen_US
dc.subjectShoeen_US
dc.subjectSport injuryen_US
dc.subjectAthletic injuriesen_US
dc.subjectBiomechanical phenomenaen_US
dc.subjectEquipment designen_US
dc.subjectFinite element analysisen_US
dc.subjectFooten_US
dc.subjectHumansen_US
dc.subjectRunningen_US
dc.subjectShoesen_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.spage370-
dc.identifier.epage387-
dc.identifier.volume24-
dc.identifier.issue2-
dc.identifier.doi10.52082/jssm.2025.370-
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.-
dcterms.bibliographicCitationJournal of sports science and medicine, 2025, v. 24, no. 2, p. 370-387-
dcterms.isPartOfJournal of sports science and medicine-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105007772932-
dc.identifier.pmid40469859-
dc.description.validate202509 bchy-
dc.identifier.FolderNumberCDCF_2024-2025en_US
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
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