Konradi Jürgen, Betz Ulrich, Huthwelker Janine, Wolf Claudia, Schmidtmann Irene, Westphal Ruben, Cerpa Meghan, Lenke Lawrence G, Drees Philipp
Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, D-55131 Mainz, Germany.
Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Rhabanusstraße 3/Tower A, D-55118 Mainz, Germany.
Bioengineering (Basel). 2025 Mar 28;12(4):348. doi: 10.3390/bioengineering12040348.
Precise segmental spinal analysis during gait has various implications for clinical use and basic research. Here, we report the use of Surface Topography (ST) to analyze three-dimensional spinal segment movements, in combination with foot pressure measuring, to describe individual vertebral bodies' motion relative to specific phases of gait. Using Statistical Analysis System (SAS) scripts, single files were merged into one raw data table and were used to generate a standardized gait cycle (SGC) for each measurement, including all measured gait cycles for each individual patient, with a spline function to obtain smooth curve progressions. Graph templates from Statistical Package for the Social Sciences create detailed visualizations of the SGCs. Previously obtained measurements from healthy participants were used to demonstrate possible applications of our method. An impressive inter-individual variability as well as intra-individual consistency of spinal motion is shown. The transformation into an SGC facilitates intra- and inter-individual comparisons for qualitative and quantitative analyses. In future studies, we want to use this method to distinguish between physiologic and pathologic spinal motion. Artificial intelligence-based analysis can facilitate this process. All tools and visualizations used are freely available in repositories to enable the replication and validation of our findings.
步态期间精确的节段性脊柱分析在临床应用和基础研究中具有多种意义。在此,我们报告使用表面地形学(ST)结合足部压力测量来分析三维脊柱节段运动,以描述各个椎体相对于特定步态阶段的运动。使用统计分析系统(SAS)脚本,将单个文件合并到一个原始数据表中,并用于为每次测量生成标准化步态周期(SGC),包括每个个体患者的所有测量步态周期,采用样条函数以获得平滑的曲线进程。社会科学统计软件包的图形模板可创建SGC的详细可视化。以前从健康参与者获得的测量结果用于展示我们方法的可能应用。结果显示出脊柱运动在个体间存在令人印象深刻的变异性以及个体内的一致性。转换为SGC有助于进行个体内和个体间的定性和定量分析比较。在未来的研究中,我们希望使用这种方法区分生理性和病理性脊柱运动。基于人工智能的分析可以促进这一过程。所有使用的工具和可视化在存储库中均可免费获取,以实现对我们研究结果的复制和验证。