PREDICTION OF LUMBAR MOTION SEGMENT ANGLES USING TRUNK ANGLE AND ANTRHOPOMETRY

摘要

To develop a simple method for dynamically assessing lumbar motion segment angles that accounts for individual variability and remains inexpensive to apply. Background Background: Current biomechanical models do not dynamically assess motion segment angles. This results in inaccurate separation of overall spinal load into shear and compression. Methods : Methods: Twenty-nine males performed sagittally symmetric exertions. Anthropometry and sensor data were input into a geometric model to compute L5/S1 through T12/L1 motion segments angles. Linear regression equations were developed using anthropometry and trunk angle. These equations were applied to an independent set of four subjects with known angles. The trunk angle used here was compared to a commonly used trunk angle measure for widespread usability. Results : Results: The L5/S1 through L2/L3 models are predictive of motion segment angles. Conclusions : Conclusions: Motion segment models developed here require simple, inexpensive measurements of torso angle and anthropometry. They are easy to use and applicable in clinical, research and industrial situations. :