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Feasibility of automatic knee kinematic feature learning for discriminating between individuals with and without a history of an anterior cruciate ligament reconstruction.

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Bibliographic Details
Title: Feasibility of automatic knee kinematic feature learning for discriminating between individuals with and without a history of an anterior cruciate ligament reconstruction.
Authors: Butler BR; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom., Gholami B; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom., Low BZW; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom., Mei Q; Faculty of Sports Science, Ningbo University, Ningbo, China; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand., Hollinger D; School of Computer Science and Electronics Engineering, University of Essex, Colchester, Essex, United Kingdom., Altai Z; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom; Institute of Public Health and Wellbeing, University of Essex, Colchester, Essex, United Kingdom., Evans DW; School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, United Kingdom., Liew BXW; School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom. Electronic address: liew_xwb@hotmail.com.
Source: Clinical biomechanics (Bristol, Avon) [Clin Biomech (Bristol)] 2025 Dec; Vol. 130, pp. 106673. Date of Electronic Publication: 2025 Sep 24.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 8611877 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1271 (Electronic) Linking ISSN: 02680033 NLM ISO Abbreviation: Clin Biomech (Bristol) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1271
DOI:10.1016/j.clinbiomech.2025.106673