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动态表面拓数据用于评估脊椎运动的个体内和个体间变化

Martin Haimerl¹, Alina Linkerhägner¹, Jürgen Konradi²

¹Innovation and Research Center Tuttlingen, Furtwangen University of Applied Science, Kronenstraße 16, 78532 Tuttlingen, Germany.

|June 29, 2023

概括

这项研究提供了行走期间脊柱运动的原始表面地形数据. 这些数据使得能够详细分析脊椎动力学和跨个体的步态变化.

科学领域:

生物力学生物力学
人类运动分析分析
脊柱运动学脊柱运动学

背景情况:

脊柱功能与个体脊椎和整个脊柱的运动密切相关.
综合的动力学数据对于系统地评估脊柱运动和比较在行走等任务中的个人间和个人内变化至关重要.

研究的目的:

为行走过程中提供脊柱表面拓图 (ST) 的综合数据集.
为了方便对行走期间的脊椎方向和脊柱参数进行详细分析.
为了研究脊柱运动的个体内和个体间的变化.

主要方法:

表面地形 (ST) 数据从无症状的志愿者收集,他们以2,3和4公里/小时的速度在跑步机上行走.
对于每个测试条件,记录了十个完整的行走周期,以捕捉详细的运动模式.
数据包括三维的脊椎方向 (C7到L4) 和骨盆方向,以及脊柱参数 (平衡,斜率,位/位).

主要成果:

该数据集包含原始的,未经处理的ST数据,反映了在不同速度行走时的脊髓动力学.
对于每个步行周期,提供脊椎和骨盆方向数据.
包括关键的脊柱参数,如平衡,斜率和主症/阴影症.

结论:

提供的原始ST数据集为分析行走过程中的脊柱运动模式提供了宝贵的资源.
研究人员可以利用这些数据进行先进的信号处理,以识别特有的运动模式和变化.
该数据集支持深入研究行走过程中脊椎运动的个体内和个体间差异.

关键词:

步态分析步态分析人类的脊柱是人类的脊柱.个体内和个体间的变化.运动分析运动分析.拉斯特式立体图形学脊柱运动学脊柱运动学表面的地形图形是表面的地形.

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