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Multiscale Curvature Assessment of Postural Deviations

机译:姿势偏差的多尺度曲率评估

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This paper presents and discusses an effective approach to assessing human postural deviations based on curvature measurements. Multiscale curvature values are calculated from both parametric contours extracted from the silhouette image in sagittal plane and from the medial axis. The algorithms were applied to digital images of patients who have been submitted to Global Postural Reeducation (GPR) physiotherapy treatment. Features such as area, perimeter, center of mass, spreading, thinness degree and angulations are also obtained for similarity shape analysis between images taken before and after the GPR treatment. The medial axis is evaluated to investigate how it can be used to infer the spine alignment of patients with postural deviations prior to taking exams such as x-ray or tomography.
机译:本文提出并讨论了一种基于曲率测量值评估人体姿势偏差的有效方法。根据从矢状面轮廓图像和中轴提取的两个参数轮廓计算多尺度曲率值。该算法已应用于已接受全球体位再教育(GPR)物理疗法治疗的患者的数字图像。还可以获得诸如面积,周长,质心,散布,稀薄度和成角度的特征,以用于在GPR处理之前和之后拍摄的图像之间进行相似形状分析。对中轴进行评估,以研究如何在进行X射线或断层扫描等检查之前,将其用于推断具有姿势偏差的患者的脊柱对齐方式。

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