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Estimation of compressive forces on lumbar spine from categorical posture data

机译：从分类姿势数据估计腰椎上的压力

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摘要

To combine estimates of trunk posture and force into an integrated measure of load on the low back, continuous variables for body angles were estimated by assuming specified distributions within corresponding posture categories with Monte-Carlo (MC) simulation. The estimated posture angles were compared with reference measurements from the Lumbar Motion Monitor and inclinometers. The lumbar compression estimates, generated from simulated posture angles and from direct measurement, were compared. Trunk flexion showed high correlation between direct measurements and simulated angles, as did L5/S1 compression. The MC approach to extracting continuous posture angles from categorized observations did not appear to introduce large error in the variables used to estimate spinal compressive forces. When instrumentation methods of postural assessment are not feasible, a simulation approach combined with biomechanical modelling could be used to integrate multiple external exposure variables into estimates of compressive forces acting on the low back.
机译：为了将躯干姿势和力量的估计值结合到腰背负荷的综合度量中，通过采用蒙特卡洛（MC）模拟假设相应姿势类别中的指定分布，来估计身体角度的连续变量。将估计的姿势角度与腰椎运动监测仪和倾角仪的参考测量值进行比较。比较了从模拟的姿势角度和直接测量得出的腰椎压缩估算值。躯干屈曲显示直接测量值与模拟角度之间的高度相关性，L5 / S1压缩也是如此。从分类观察中提取连续姿势角的MC方法似乎并未在用于估计脊椎压力的变量中引入较大的误差。当姿势评估的仪器方法不可行时，可以将模拟方法与生物力学建模相结合，以将多个外部暴露变量集成到对腰部施加的压缩力的估计中。

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