Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University, Damascus, Syria.
Comput Methods Biomech Biomed Engin. 2022 Feb;25(2):193-203. doi: 10.1080/10255842.2021.1946521. Epub 2021 Jun 28.
This paper introduces an intelligent index that numerically assesses high-heeled gait deviations. Experiments were conducted on 14 young female volunteers, and the spatial-temporal gait parameters were calculated at each heel height. A type-2 fuzzy system index was built using the baseline case (barefoot). The index showed sensitivity to heel height changes. Moreover, its values divided the heel heights used in this study into three groups, depending on their effect on the gait parameters. A high correlation between the proposed index and the gait profile score (GPS) was found, this supports the index validity to evaluate different human gait deviations.
本文介绍了一种智能指数，可对高跟鞋步态偏差进行数值评估。实验在 14 名年轻女性志愿者身上进行，在每个鞋跟高度计算了时空步态参数。使用基础案例（赤脚）构建了一个 2 型模糊系统指数。该指数对鞋跟高度变化敏感。此外，其值根据对步态参数的影响将本研究中使用的鞋跟高度分为三组。研究发现，所提出的指数与步态轮廓评分（GPS）之间存在高度相关性，这支持了该指数评估不同人类步态偏差的有效性。
