Journal of biomechanics
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Journal of biomechanics · Oct 2016
ReviewReview of the fluid flow within intervertebral discs - How could in vitro measurements replicate in vivo?
By maintaining a balance between external mechanical loads and internal osmotic pressure, fluid content of intervertebral discs constantly alters causing fluctuations in disc hydration, height, diameter and pressure that govern disc temporal response. This paper reviews and discusses the relevant findings of earlier studies on the disc fluid flow with the aim to understand and remedy discrepancies between in vivo and in vitro observations. New results of finite element model studies are also exploited in order to help identify the likely causes for such differences and underlying mechanisms observed in vitro. ⋯ In view of much longer periods required to recover disc height and pressure in vitro in ovine, porcine, caprine, bovine and rat discs, concerns have been raised on the fluid inflow through the endplates that might be hampered by clogged blood vessels post mortem. Analyses of discrepancies in the flow-dependent recoveries in vivo and in vitro highlight an excessive fluid content in the latter as a likely cause. To replicate in vivo conditions as closely as possible in vitro, preparation and preconditioning of specimens and/or pressure and osmolarity of the culture media in which specimens are immersed should hence be designed in a manner as to diminish disc hydration level and/or fluid transport.
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Journal of biomechanics · Oct 2016
The effect of six degree of freedom loading sequence on the in-vitro compressive properties of human lumbar spine segments.
The complex, direction-dependent, poro-viscoelastic properties of the intervertebral disc (disc) suggest that investigations of the six degree of freedom (6DOF) behaviour may be susceptible to inter-test variation in mechanical response if the disc does not return to initial conditions between loading directions. No studies have quantified the effects of sequential multi-directional loading on the consistency of the compressive response of the disc throughout a 6DOF testing protocol. Therefore, the objective of this study was to determine the effect of 6DOF loading on the compressive properties (stiffness and phase angle) of human discs, as evaluated by a reference compression test performed after each single DOF test. ⋯ More pronounced effects were seen for stiffness in comparison to modulus and phase angle. These effects may be due to three potentials factors, which include the sequence of testing, the cohort of degenerative specimens, and/or cumulative creep due to the constant application of a follower load. While the sequence of test directions was chosen to minimise the biphasic effect, there may be other sequences, which could result in minimal changes in compressive properties.
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Journal of biomechanics · Oct 2016
Improving the ground reaction force prediction accuracy using one-axis plantar pressure: Expansion of input variable for neural network.
In this study, we describe a method to predict 6-axis ground reaction forces based solely on plantar pressure (PP) data obtained from insole type measurement devices free of space limitations. Because only vertical force is calculable from PP data, a wavelet neural network derived from a non-linear mapping function was used to obtain 3-axis ground reaction force in medial-lateral (GRFML), anterior-posterior (GRFAP) and vertical (GRFV) and 3-axis ground reaction moment in sagittal (GRFS), frontal (GRFF) and transverse (GRFT) data for the remaining axes and planes. As the prediction performance of nonlinear models depends strongly on input variables, in this study, three input variables - accumulated PP with respect to time, center of pressure (COP) pattern, and measurements of the opposite foot, which are calculable only with a PP device - were considered in order to improve prediction performance. ⋯ As a result, prediction model (correlation coefficient, r=0.73-0.97) utilized accumulated PP and PP data of the opposite foot and showed the highest prediction accuracy in left-foot GRFV, GRMF, GRMT and right-foot GRFAP, GRFML, GRMF, GRMT. Likewise, another prediction model (r=0.83-0.98) utilized accumulated PP and COP patterns as input and showed the best accuracy in left-foot GRFAP, GRFML, GRMS and right-foot GRFV, GRMS. New methods based on the findings of the present study are expected to help resolve problems such as spatial limitation and limited analyzable motions in existing GRF measurement processes.