Lee Jung Keun, Desmoulin Geoffrey T, Khan Aslam H, Park Edward J
School of Engineering Science, Simon Fraser University, BC, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4737-40. doi: 10.1109/IEMBS.2011.6091173.
Spinal motion measurement during dynamic conditions may help identify differences between individuals with and without low back pain (LBP). The purpose of this paper is to demonstrate the feasibility of an inertial sensing based, portable spinal motion measurement system for investigating the differences of the spinal motions between an LBP group and a healthy control group. During a fast flexion/extension test, we measured 3D angular motions of the pelvis, lumbar spine and thoracic spine of the two groups using the inertial sensing based system. Range of motions (ROM) and peak angular velocities were investigated to determine which variables have significant differences between the two groups (p < 0.05). Also, a logistic regression analysis was carried out to see the classifying ability of the LBP patients from controls using the proposed system. The result shows that LBP was particularly associated with significant decreases in peak velocities of the lumbar spinal extension motion, having the maximum 90% sensitivity and 80% specificity in the classification according to the regression analysis. The result demonstrates the possibility of the proposed inertial sensing-based system to be served as an efficient tool in providing an accurate and continuous measurement of the spinal kinematics.
动态条件下的脊柱运动测量可能有助于识别有无下腰痛(LBP)个体之间的差异。本文的目的是证明一种基于惯性传感的便携式脊柱运动测量系统用于研究LBP组和健康对照组之间脊柱运动差异的可行性。在快速屈伸测试中,我们使用基于惯性传感的系统测量了两组的骨盆、腰椎和胸椎的三维角运动。研究了运动范围(ROM)和峰值角速度,以确定哪些变量在两组之间存在显著差异(p<0.05)。此外,还进行了逻辑回归分析,以观察使用所提出的系统将LBP患者与对照组进行分类的能力。结果表明,LBP尤其与腰椎伸展运动峰值速度的显著降低有关,根据回归分析,在分类中具有最高90%的灵敏度和80%的特异性。结果证明了所提出的基于惯性传感的系统有可能成为提供脊柱运动学准确和连续测量的有效工具。