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

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

doi:10.1016/j.dib.2023.109178

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

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

Authors

Martin Haimerl¹, Alina Linkerhägner¹, Jürgen Konradi², Claudia Wolf², Philipp Drees³, Ulrich Betz²

Affiliations

¹ Innovation and Research Center Tuttlingen, Furtwangen University of Applied Science, Kronenstraße 16, 78532 Tuttlingen, Germany.
² Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr.1, 55131 Mainz, Germany.
³ Department of Orthopedics and Trauma Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr.1, 55131 Mainz, Germany.

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.

Keywords: Gait analysis; Human spine; Intra- and inter-individual variation; Motion analysis; Rasterstereography; Spinal kinematics; Surface topography.