https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-017-0306-2
- Ross A. BogeyEmail authorView ORCID ID profile and
- Lee A. Barnes
Journal of NeuroEngineering and Rehabilitation201714:92
© The Author(s). 2017
Received: 2 February 2017
Accepted: 4 September 2017
Published: 11 September 2017
Abstract
Background
The purpose of this study was
to determine the contribution of individual hip muscles to the net hip
power in normal adult self-selected speed walking. A further goal was to
examine each muscle’s role in propulsion or support of the body during
that task.
Methods
An EMG-to-force processing
(EFP) model was developed which scaled muscle-tendon unit (MTU) force
output to gait EMG. Active muscle power was defined as the product of
MTU forces (derived from EFP) and that muscle’s contraction velocity.
Passive hip power was estimated from passive moments associates with hip
position (angle of flexion (extension)) and the hip’s angular velocity.
Net hip EFP power was determined by summing individual active hip
muscle power plus the net passive hip power at each percent gait cycle
interval. Net hip power was also calculated for these study participants
via inverse dynamics (kinetics plus kinematics, KIN). The inverse
dynamics technique – well accepted in the biomechanics literature – was
used as a “gold standard” for validation of this EFP model. Closeness of
fit of the power curves of the two methods was used to validate the
model.
Results
The correlation between the
EFP and KIN methods was sufficiently close, suggesting validation of the
model’s ability to provide reasonable estimates of power produced by
individual hip muscles. Key findings were that (1) most muscles undergo a
stretch-shorten cycle of muscle contraction, (2) greatest power was
produced by the hip abductors, and (3) the hip adductors contribute to
either hip adduction or hip extension (but not both).
Conclusions
The EMG-to-force processing
approach provides reasonable estimates of individual hip muscle forces
in self-selected speed walking in neurologically-intact adults.
Background
The
role of individual hip muscles in normal walking has not been fully
described. A more complete understanding of each muscle’s role could be
established by knowledge of that muscle’s force output and power
generation. However, direct measurements of muscle force has been
obtained for only a few lower extremity muscles (i.E. Achilles tendon [1, 2]),
and the techniques used to directly record muscle forces – even when
possible – are not practical in a clinical environment. Muscle power is
related to muscle force, in that it is the product of force output and
muscle-tendon unit (MTU) contraction velocity. Joint power – that is,
the power produced by synergistic muscles – may be used to establish the
capacity of muscle groups to generate or restrain movement [3, 4, 5, 6, 7, 8, 9, 10, 11, 12].
Concentric power typically produces motion, while negative power
implies motion restraint. A possible confound is that the presence of
muscle power has been used as a proxy for muscle activity, yet studies
of amputee locomotion [13]
demonstrate non-zero power at the prosthetic ankle. Further, isometric
contractions have zero power, due to a contraction velocity of zero.
Nonetheless, the power produced by any muscle cannot be directly
determined. Hence other methods are required.
An
impediment to easy determination of muscle power – and the potential
role of individual hip muscles – is that the hip has more muscles than
are necessary to perform basic movements. This overabundance of muscles
leads to statistical indeterminacy (more unknown muscle forces than
solution set of equations). Power calculation approaches thus are based
on inverse dynamics techniques. This method solves the
actuator-redundancy problem. However, conventional power analysis cannot
define the unique power contribution of a single muscle, except in
uncommon cases where only a single muscle is responsible for the
observed movement. Co-contraction of agonists and antagonists is a
further confound. As a result there may not be a direct link between a
muscle’s power output (via inverse dynamics techniques) and that
muscle’s true role in gait. These factors show that the muscle power
estimates from inverse dynamics can include muscle force, joint angular
velocities and other, undefined variables.
Neuromuscular modeling techniques have produced reasonable estimates of in vivo ankle muscle power [14].
It was the purpose of this study to examine if those techniques could
be applied to at the more proximal hip joint to determine individual hip
muscle power production in normal, self-selected-speed walking.
More at link. Your doctor will need to solve this equation;
The post-processed EMG profile ε(t) was defined byε(t)=γ(ρ1E(t)+ρ2E(t−1)+ρ3E(t−2)+ρ4ε(t−1)+ρ5ε(t−2))
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