Chapter 6. Conclusions, discussion and future work
6.1 Achilles tendon model development
In Chapter 4 the development of the mathematical, mechanical, musculoskeletal model of
the Achilles tendon was described. The model is anatomically meaningful; it describes the
anatomy and physiology of the body components incorporated as realistically as possible.
Inverse dynamics in conjunction with Newton's second and third laws were used in order to
compute forces and moments of force indirectly from the kinematics and inertial properties of
the lower bodies studied. The method used to numerically compute the internal kinetics of
planar human movements was presented in Section 4.1. In order to calculate the forces and
moments at specific joints, body kinematics and anthropometric data are applied. Three
important principles were involved in this method; i) Newton’s second law, ii) the principle of
superposition and iii) a technique known as the method of sections. A single net force and a
single moment of force, that can be measured from experiments, were produced in order to
solve the unknown Achilles tendon force. Also forward dynamics were used to determine the
resultant motion of bodies [41].
The present model is sensitive to its input data. Errors in marker locations, segment inertial
properties, joint centre estimates, segment accelerations, joint forces and ground reaction forces
affect the joint moment data. Some of these errors are less significant than others. An example
mentioned in Robertson [41], states that ground reaction forces during locomotion tend to
dominate stance-phase kinetics and measuring them accurately prevents the majority of
accuracy problems. However, assumption made for the model and limitations that occurred do
not invalidate the model data, but they do limit the extent of interpretation.
In Section 4.2, a two segment model of the human foot and leg was presented that describes
the development of the musculoskeletal model of the Achilles tendon. Newton’s laws and the
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mathematically model the skeletal system along with the Achilles tendon. In Section 4.3 the
method used to model human skeletal muscle dynamics using Hill-type muscle models was
portrayed. A gastrocnemius muscle-Achilles tendon model was presented and the derivation of
the system equations that characterise the muscle-tendon model were given. 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.
Accurate model outcomes were very important in order to study how particular muscles
contribute to movement coordination and propose or assess interventions to prevent foot
injuries. Therefore, a validated model of the Achilles tendon that could provide specific
parameters for a specific person studied, was a main goal of this thesis. The derivation of the
Achilles tendon force from the system equations for the musculoskeletal model of the Achilles
tendon and the implementation of that force in the muscle-tendon model in order to derive the
parameters of the model as well as the non-linear approach of the behaviour of the Achilles
tendon studied through a motion capture system is, to the best of the authors knowledge, novel
in the field of muscle-tendon research.
The variability in Achilles tendon stiffness between subjects strengthens the need for the
development of experimentally measured subject-specific tendon properties. These properties
would be the input parameters of the models that would help to improve the accuracy of
musculoskeletal models. Hill-type muscle models and musculoskeletal simulations have broad
application to biomechanical research and experimental investigations of musculoskeletal
pathologies [129]. However, the accuracy of these simulations directly depends on the values
used in the models, i.e. the natural resting length of muscles and tendons. Despite significant
variability in these tendon properties between individuals many studies use generic values for
the tendon properties. That is why in this thesis the model developed, used specific data for
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In order to obtain the appropriate specific inputs for each individual to then be incorporated
in the model, anthropometric data were used. Ultrasound and Gait Laboratory experiments were
used to obtain the natural resting lengths of the Achilles tendon and the gastrocnemius muscle
as well as the change in length of the muscle and the tendon when an individual performed
specific movements. A novel marker placement, which is a combination of the validated
existing Plug-in Gait model with new markers added, was created in order to acquire the
necessary data to compute the natural resting lengths and the elongation and shortening lengths
of the muscle-tendon model. Cross validation of the lengths was performed through the lengths
obtained from the Ultrasound experiments conducted at the UHCW. EMG experiments also
provided information about the activation of the muscles involved in the movements studied.
This information was valuable for the development of the model and the assumptions for the
description of the contractile force input.
Structural identifiability analysis of the modified Hill-type muscle model was performed and
concluded that all the parameters of the model are identifiable and can describe the movement
of the muscle-tendon complex. Then, parameter estimation was performed in the time domain
for each volunteer in order to acquire a set of fitted values for the parameters b, k1, and k2 that
were the unknown ones in our model. Parameter estimation of the model led to satisfactory
agreement between measured and simulated data for the specific movements that were studied.
All results were found to lie in the accepted range of values mentioned in the literature. A non-
linear model was also investigated which showed that the solution for the quadratic Equation
(4.11) when simulated gave a better approach to the experimental data than the simulation of
the solution of the cubic equation.
The general approach and the model developed was proven to be suitable for the leg muscles
and the Achilles tendon, so we can speculate that other muscle groups can be parameterised and
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