Machine learning-driven gait classification in individuals with anterior cruciate ligament reconstruction

Objectives: Anterior cruciate ligament (ACL) ruptures often lead to gait abnormalities, and while ACL reconstruction (ACLR) is a common treatment, it may not fully restore normal biomechanics. Machine learning (ML) provides a robust method for analyzing multidimensional gait data, extracting features [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-10-31
DOI
https://doi.org/10.3205/25dkou004
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning-driven gait classification in individuals with anterior cruciate ligament reconstruction

German Medical Science (German Research Foundation)
Knee injuries and reconstruction techniques
article

Machine learning-driven gait classification in individuals with anterior cruciate ligament reconstruction

article en

Abstract

Objectives: Anterior cruciate ligament (ACL) ruptures often lead to gait abnormalities, and while ACL reconstruction (ACLR) is a common treatment, it may not fully restore normal biomechanics. Machine learning (ML) provides a robust method for analyzing multidimensional gait data, extracting features [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Jena University Hospital (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Friedrich Schiller University Jena (DE), Charité - Universitätsmedizin Berlin (DE)
Openalex Percentile: Top 32%
Knee injuries and reconstruction techniques
DOIOpen Access PDFOpenAlex
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