Watanabe Takahiro, Tsutsumi Masahiro, Kuroyanagi Eiichi, Furusawa Hinata, Kudo Shintarou
Graduate School of Health Sciences, Morinomiya University of Medical Sciences, Osaka, Japan.
Inclusive Medical Sciences Research Institute, Morinomiya University of Medical Sciences, Osaka, Japan.
Heliyon. 2024 Jul 8;10(14):e34197. doi: 10.1016/j.heliyon.2024.e34197. eCollection 2024 Jul 30.
Multi-segment foot kinematics during shod running are difficult to investigate in clinical settings. Stretch strain sensors can measure foot kinematics; however, whether they can evaluate foot kinematics during shod running or at the midfoot kinematics remains unclear. The aim of this study was to investigate the stretch strain sensor could reveal differences between shod and barefoot conditions and midfoot kinematics during running. Eighteen healthy adults were included in the study. A stretch strain sensor and three-dimensional motion capture system were used to measure foot kinematics during barefoot and shod running with a rearfoot strike pattern. The correlation between the amplitudes of the two signals during barefoot running was investigated, and the similarity between the two signals was evaluated using the cross-correlation coefficient. Statistical parametric mapping was used to compare shod and barefoot conditions. Shod running had significantly lower sensor strain from 30 % to 100 % stance compared to barefoot running ( < 0.05). The sensor amplitude was significantly correlated with the shank-rearfoot frontal ( = 0.668, = 0.002), the rearfoot-midfoot transverse ( = 0.546, = 0.02), and the midfoot-forefoot sagittal planes ( = 0.563, = 0.01). A high cross-correlation was observed between the sensor signal and the shank-rearfoot sagittal, frontal, and transverse planes and the midfoot-forefoot sagittal plane. This sensor can be used to investigate foot kinematics during shod running. The sensor signal mainly reflects the shank-rearfoot frontal and midfoot-forefoot sagittal planes, as well as the maximum kinematic range of the rearfoot-midfoot transverse plane.
在临床环境中，很难研究穿鞋跑步时的多节段足部运动学。拉伸应变传感器可以测量足部运动学；然而，它们是否能够评估穿鞋跑步时的足部运动学或中足运动学仍不清楚。本研究的目的是调查拉伸应变传感器能否揭示穿鞋和赤足条件之间以及跑步过程中中足运动学的差异。18名健康成年人纳入本研究。使用拉伸应变传感器和三维运动捕捉系统测量后足着地模式下赤足和穿鞋跑步时的足部运动学。研究了赤足跑步时两个信号幅度之间的相关性，并使用互相关系数评估两个信号之间的相似性。采用统计参数映射比较穿鞋和赤足条件。与赤足跑步相比，穿鞋跑步在站立30%至100%阶段的传感器应变显著更低（<0.05）。传感器幅度与小腿-后足额状面（=0.668，=0.002）、后足-中足横断面（=0.5,46，=0.02）以及中足-前足矢状面（=0.563，=0.01）显著相关。在传感器信号与小腿-后足矢状面、额状面和横断面以及中足-前足矢状面之间观察到高度互相关。该传感器可用于研究穿鞋跑步时的足部运动学。传感器信号主要反映小腿-后足额状面和中足-前足矢状面，以及后足-中足横断面的最大运动范围。
