Background
In-vitro gait simulations have great potential, allowing a systematic analysis of the foot function. However, it is important that the loading conditions are realistic i.e. physiologic ground reaction forces (GRF). In most experiments, in-vivo measured GRF can be imposed [1,2]. However in experimental designs that evaluate the effect of altered muscle forces on foot motion this is more complex; the effect of the altered muscle activity on the loading and kinematics cannot be taken into consideration. Therefore, we investigated the use of a new technique to simulate such cases with realistic loading conditions.
Methods
Our gait simulator simulates the activation of nine muscles (grouped in six groups), based on electromyography measurements. The forces are applied with pneumatic actuators and are measured by load-cells located between the tendons and the actuators. The set-up is able to simulate knee motion, using a motor for the horizontal and a platform under the foot for the vertical direction. The stance phase is simulated in 0.8 seconds.
The GRF in human gait is the sum of a static (human weight) and a dynamic part (acceleration of human mass). By applying a constant force on the platform (equal to the assumed weight of the subject), the measured GRF is the sum of the constant force and the force generated from the acceleration of the platform. This way, the kinetics are governed exclusively by the muscle activation.
Results
Conclusions
Using this method, physiological GRF were reconstructed for normal gait, by reconstructing the mechanism that generates GRF. It could be, therefore, used for pathologic gait simulations, since the mechanism is identical.
Acknowledgments
This work was funded by the Chair Berghmans-Dereymaeker.
References
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Sharkey NA, Hamel AJ: A dynamic cadaver model of the stance phase of gait: performance characteristics and kinetic validation.
Clin Biomech (Bristol, Avon) 1998, 13:420-433. PubMed Abstract | Publisher Full Text
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Whittaker E, Aubin P, Ledoux W: Foot bone kinematics as measured in a cadaveric robotic gait simulator.
Gait Posture 2011, 33:645-650. PubMed Abstract | Publisher Full Text




Figure 1.