Abstract
Neuromusculoskeletal models can be used to evaluate aberrant muscle function in cerebral palsy (CP), for example by estimating muscle and joint contact forces during gait. However, to be accurate, models should include representative musculotendon parameters. We aimed to estimate personalised parameters that capture the mechanical behaviour of the plantarflexors in children with CP and typically developing (TD) children. Ankle angle (using motion capture), torque (using a load-cell), and medial gastrocnemius fascicle lengths (using ultrasound) were measured during slow passive ankle dorsiflexion rotation for thirteen children with spastic CP and thirteen TD children. Per subject, the measured rotation was input to a scaled OpenSim model to simulate the torque and fascicle length output. Musculotendon model parameters were personalised by the best match between simulated and experimental torque–angle and fascicle length-angle curves according to a least-squares fit. Personalised tendon slack lengths were significantly longer and optimal fibre lengths significantly shorter in CP than model defaults and than in TD. Personalised tendon compliance was substantially higher in both groups compared to the model default. The presented method to personalise musculotendon parameters will likely yield more accurate simulations of subject-specific muscle mechanics, to help us understand the effects of altered musculotendon properties in CP.
Original language | English |
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Pages (from-to) | 938-950 |
Journal | Annals of Biomedical Engineering |
Volume | 51 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 May 2023 |
Funding
The authors would like to thank Caroline Mackenbach as well as researchers from the Clinical Motion Analysis Lab at the University Hospital, Leuven, for their contributions to the project. This work was supported by research grants from the Research Foundation Flanders (FWO-12R4215N) and from the Netherlands Organization for Scientific Research (NWO-016.186.144) to LB, and by a Griffith University Advanced Queensland GCORE Postgraduate Research Scholarship to KV.
Funders | Funder number |
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Griffith University | |
Fonds Wetenschappelijk Onderzoek | FWO-12R4215N |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | NWO-016.186.144 |