1192481_Sritharan,P_2022.pdf (528.46 kB)
Download fileBiomechanical Markers of Forward Hop-Landing After ACL-Reconstruction: A Pattern Recognition Approach
journal contribution
posted on 2022-07-29, 05:45 authored by Prasanna SritharanPrasanna Sritharan, MA Muñoz, P Pivonka, AL Bryant, H Mokhtarzadeh, LG PerratonBiomechanical changes after anterior cruciate ligament reconstruction (ACLR) may be detrimental to long-term knee-joint health. We used pattern recognition to characterise biomechanical differences during the landing phase of a single-leg forward hop after ACLR. Experimental data from 66 individuals 12-24 months post-ACLR (28.2 ± 6.3 years) and 32 controls (25.2 ± 4.8 years old) were input into a musculoskeletal modelling pipeline to calculate joint angles, joint moments and muscle forces. These waveforms were transformed into principal components (features), and input into a pattern recognition pipeline, which found 10 main distinguishing features (and 8 associated features) between ACLR and control landing biomechanics at significance α= 0.05. Our process identified known biomechanical characteristics post-ACLR: smaller knee flexion angle; less knee extensor moment; lower vasti, rectus femoris and hamstrings forces. Importantly, we found more novel and less well-understood adaptations: smaller ankle plantar flexor moment; lower soleus forces; and altered patterns of knee rotation angle, hip rotator moment and knee abduction moment. Crucially, we identified, with high certainty, subtle aberrations indicating landing instability in the ACLR group for: knee flexion and internal rotation angles and moments; hip rotation angles and moments; and lumbar rotator and bending moments. Our findings may benefit rehabilitation and assessment for return-to-sport 12–24 months post-ACLR.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions. Funding was provided by National Health & Medical Research Council (Dora Lush Postgraduate Scholarship and R.D. Wright Biomedical #1053521).
History
Publication Date
2022-03-01Journal
Annals of Biomedical EngineeringVolume
50Issue
3Pagination
(p. 330-342)Publisher
Springer NatureISSN
0090-6964Rights Statement
© 2022 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appro- priate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://crea tivecommons.org/licenses/by/4.0/.Publisher DOI
Usage metrics
Keywords
Science & TechnologyTechnologyEngineering, BiomedicalEngineeringAnterior cruciate ligamentFeature selectionPrincipal component analysisKnee osteoarthritisMusculoskeletal modellingMachine learningPRINCIPAL COMPONENT ANALYSISCRUCIATE LIGAMENT RECONSTRUCTIONAGE-RELATED DIFFERENCESWAVE-FORM DATAKNEE KINEMATICSFUNCTIONAL PERFORMANCEDYNAMIC SIMULATIONSGAIT DATAMUSCLEHIPAnterior Cruciate Ligament ReconstructionBiomechanical PhenomenaHumansMotor ActivityMuscle, SkeletalPhysical EnduranceTask Performance and AnalysisBiomedical EngineeringClinical Sciences not elsewhere classified