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用于评估椎体运动个体内和个体间差异的动态表面形貌数据。

Dynamic surface topography data for assessing intra- and interindividual variation of vertebral motion.

作者信息

Haimerl Martin, Linkerhägner Alina, Konradi Jürgen, Wolf Claudia, Drees Philipp, Betz Ulrich

机构信息

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

Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr.1, 55131 Mainz, Germany.

出版信息

Data Brief. 2023 Apr 26;48:109178. doi: 10.1016/j.dib.2023.109178. eCollection 2023 Jun.

Abstract

Spinal function is substantially related to the motion of the particular vertebrae and the spine as a whole. For systematic assessment of individual motion, data sets are required which cover the kinematics comprehensively. Additionally, the data should enable a comparison of inter- and intraindividual variation of vertebral orientation in dedicated motion tasks like gait. For this purpose, this article provides surface topography (ST) data which were acquired while the individual test persons were walking on a treadmill at three different speed levels (2 km/h, 3 km/h, 4 km/h). In each recording, ten full walking cycles were included per test case to enable a detailed analysis of motion patterns. The provided data reflects asymptomatic and pain-free volunteers. Each data set contains the vertebral orientation in all three motion directions for the vertebra prominens down to L4 as well as the pelvis. Additionally, spinal parameters like balance, slope, and lordosis / kyphosis parameters as well as an assignment of the motion data to single gait cycles are included. The complete raw data set without any preprocessing is provided. This allows to apply a broad range of further signal processing and evaluation steps in order to identify characteristic motion patterns as well as intra- and inter-individual variation of vertebral motion.

摘要

脊柱功能与特定椎骨以及整个脊柱的运动密切相关。为了系统评估个体运动,需要能够全面涵盖运动学的数据集。此外,这些数据应能在诸如步态等特定运动任务中,对个体间和个体内椎骨方位变化进行比较。为此,本文提供了表面地形(ST)数据,这些数据是在个体测试者以三种不同速度水平(2公里/小时、3公里/小时、4公里/小时)在跑步机上行走时采集的。在每次记录中,每个测试案例包含十个完整的行走周期,以便对运动模式进行详细分析。所提供的数据反映的是无症状且无疼痛的志愿者。每个数据集包含从隆椎到L4以及骨盆在所有三个运动方向上的椎骨方位。此外,还包括诸如平衡、坡度、前凸/后凸参数等脊柱参数,以及将运动数据分配到单个步态周期的信息。提供了未经任何预处理的完整原始数据集。这使得可以应用广泛的进一步信号处理和评估步骤,以识别特征性运动模式以及椎骨运动的个体内和个体间变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/318e/10293987/3d9f8eae19cf/gr1.jpg

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