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首页> 外文期刊>Journal of Biomechanics >Bootstrap prediction bands for cervical spine intervertebral kinematics during in vivo three-dimensional head movements
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Bootstrap prediction bands for cervical spine intervertebral kinematics during in vivo three-dimensional head movements

机译：体内三维头部运动过程中颈椎椎间运动学的自举预测带

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There is substantial inter-subject variability in intervertebral range of motion (ROM) in the cervical spine. This makes it difficult to define "normal" ROM, and to assess the effects of age, injury, and surgical procedures on spine kinematics. The objective of this study was to define normal intervertebral kinematics in the cervical spine during dynamic functional loading. Twenty-nine participants performed dynamic flexionextension, axial rotation, and lateral bending while biplane radiographs were collected at 30 images/s. Vertebral motion was tracked with sub-millimeter accuracy using a validated volumetric model-based tracking process that matched subject-specific CT-based bone models to the radiographs. Gaussian point-by-point and bootstrap techniques were used to determine 90% prediction bands for the intervertebral kinematic curves at 1% intervals of each movement cycle. Cross validation was performed to estimate the true achieved coverage for each method. For a targeted coverage of 90%, the estimated true coverage using bootstrap prediction bands averaged 86 +/- 5%, while the estimated true coverage using Gaussian point-by-point intervals averaged 56 +/- 10% over all movements and all motion segments. Bootstrap prediction bands are recommended as the standard for evaluating full ROM cervical spine kinematic curves. The data presented here can be used to identify abnormal motion in patients presenting with neck pain, to drive computational models, and to assess the biofidelity of in vitro loading paradigms. (C) 2015 Elsevier Ltd. All rights reserved.
机译：颈椎的椎间运动范围（ROM）存在很大的受试者间差异。这使得很难定义“正常” ROM，也难以评估年龄，损伤和手术程序对脊柱运动学的影响。这项研究的目的是定义动态功能负荷期间颈椎的正常椎间运动学。 29名参与者进行了动态屈伸，轴向旋转和横向弯曲，同时以30幅图像/秒的速度收集了双翼X线片。使用经过验证的基于体积模型的跟踪过程以低于毫米的精度跟踪椎骨运动，该过程将基于受试者的基于CT的骨骼模型与X射线照片相匹配。高斯逐点和自举技术用于确定每个运动周期的间隔为1％时椎间运动曲线的90％预测带。进行交叉验证以估计每种方法的真正实现覆盖率。对于90％的目标覆盖率，使用引导程序预测带估计的真实覆盖率平均为86 +/- 5％，而使用高斯点对点间隔的估计真实覆盖率在所有运动和所有运动中平均为56 +/- 10％段。建议使用自举预测带作为评估完整ROM颈椎运动学曲线的标准。此处提供的数据可用于识别出现颈痛的患者的异常运动，驱动计算模型并评估体外负荷范例的生物保真度。 （C）2015 Elsevier Ltd.保留所有权利。

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