Digo Elisa, Pierro Giuseppina, Pastorelli Stefano, Gastaldi Laura
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
Department of Mathematical Sciences "G.L. Lagrange," Politecnico di Torino, Torino, Italy.
Proc Inst Mech Eng H. 2020 Oct;234(10):1094-1105. doi: 10.1177/0954411920940830. Epub 2020 Jul 7.
The increasing number of postural disorders emphasizes the central role of the vertebral spine during gait. Indeed, clinicians need an accurate and non-invasive method to evaluate the effectiveness of a rehabilitation program on spinal kinematics. Accordingly, the aim of this work was the use of inertial sensors for the assessment of angles among vertebral segments during gait. The spine was partitioned into five segments and correspondingly five inertial measurement units were positioned. Articulations between two adjacent spine segments were modeled with spherical joints, and the tilt-twist method was adopted to evaluate flexion-extension, lateral bending and axial rotation. In total, 18 young healthy subjects (9 males and 9 females) walked barefoot in three different conditions. The spinal posture during gait was efficiently evaluated considering the patterns of planar angles of each spine segment. Some statistically significant differences highlighted the influence of gender, speed and imposed cadence. The proposed methodology proved the usability of inertial sensors for the assessment of spinal posture and it is expected to efficiently point out trunk compensatory pattern during gait in a clinical context.
姿势障碍数量的不断增加凸显了脊柱在步态中的核心作用。事实上,临床医生需要一种准确且非侵入性的方法来评估康复计划对脊柱运动学的有效性。因此,这项工作的目的是使用惯性传感器来评估步态期间椎骨节段之间的角度。脊柱被划分为五个节段,并相应地放置了五个惯性测量单元。两个相邻脊柱节段之间的关节用球形关节建模,并采用倾斜-扭转方法来评估屈伸、侧弯和轴向旋转。总共18名年轻健康受试者(9名男性和9名女性)在三种不同条件下赤脚行走。通过考虑每个脊柱节段的平面角度模式,有效地评估了步态期间的脊柱姿势。一些具有统计学意义的差异突出了性别、速度和规定步频的影响。所提出的方法证明了惯性传感器在评估脊柱姿势方面的可用性,并且有望在临床环境中有效地指出步态期间的躯干代偿模式。