NDLI: A mathematical model characterising Achilles tendon dynamics in flexion

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A mathematical model characterising Achilles tendon dynamics in flexion

Content Provider	Scilit
Author	Chatzistefani, N. Chappell, M. J. Hutchinson, C. Kletzenbauer, S. Evans, N. D.
Copyright Year	2017
Description	Journal: Mathematical Biosciences The purpose of this study is to acquire mechanistic knowledge of the gastrocnemius muscle-Achilles tendon complex behaviour during specific movements in humans through mathematical modelling. Analysis of this muscle-tendon complex was performed to see if already existing muscle-tendon models of other parts of the body could be applied to the leg muscles, especially the gastrocnemius muscle-Achilles tendon complex, and whether they could adequately characterise its behaviour. Five healthy volunteers were asked to take part in experiments where dorsiflexion and plantar flexion of the foot were studied. A model of the Achilles tendon-gastrocnemius muscle was developed, incorporating assumptions regarding the mechanical properties of the muscle fibres and the tendinous tissue in series. Ultrasound images of the volunteers, direct measurements and additional mathematical calculations were used to parameterise the model. Ground reaction forces, forces on specific joints and moments and angles for the ankle were obtained from a Vicon 3D motion capture system. Model validation was performed from the experimental data captured for each volunteer and from reconstruction of the movements of specific trajectories of the joints, muscles and tendons involved in those movements.
Related Links	http://wrap.warwick.ac.uk/84261/3/WRAP_1264583-engineering-291116-revised_manuscript_2.pdf
ISSN	00255564
e-ISSN	18793134
DOI	10.1016/j.mbs.2016.11.006
Journal	Mathematical Biosciences
Volume Number	284
Language	English
Publisher	Elsevier BV
Publisher Date	2017-02-01
Access Restriction	Open
Subject Keyword	Journal: Mathematical Biosciences Hill-type Muscle Model Joint Trajectories Mathematical Model Muscle-tendon Complex Musculoskeletal Modelling
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology Agricultural and Biological Sciences Modeling and Simulation

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