目的 步态分析对于下肢损伤部位及程度描述具有重要作用,而对称度是步态特征的重要指标。本研究将在三维空间定量描述步态信息及其不对称度,深入挖掘步态信息,完善疾病异常步态特征分析。方法 基于惯性步态传感器获得不同部位的冠状面-矢状面角度变化信息,反向重建步态空间矢量,构建运动曲线,形成基于三维空间角度矢量距离的运动对称性检测方法。于2017年7月至2018年1月对健康人(正常组)和单纯前交叉韧带(ACL)断裂患者(ACL组)进行特征分析,验证其效果。结果 小腿、大腿和膝关节不对称度D方面两组有较好的区分效果(P<0.05)。其中小腿空间运动矢量特征对组间辨识度较高且区分相对稳定,与性别、年龄、身高、体质量指数无关。结论 通过两侧惯性传感器获得左右肢体时间-冠状面-矢状面空间曲线图,在三维空间中计算相应周期所有时间点的欧式空间距离平方的平均值,可作为步态不对称度分析方法。
Objective Gait analysis plays an important role in the description of the site and degree of injury in the lower limbs, and symmetry is an important indicator of gait characteristics. The aim of this study is to quantitatively describe gait information and its asymmetry in three-dimensional space, dig deeper into gait information and improve the analysis of abnormal gait characteristics.Methods The information about the change of coronal-sagittal plane angle in different parts was obtained based on the inertial gait sensor, and the gait space vector was inverted to build the movement curve and form a motion symmetry detection method based on three-dimensional space angle vector distance. The characteristics of normal subjects (control group) and the anterior cruciate ligament (ACL) rupture patients (patients group) were analyzed from July, 2017 to January, 2018, and its effectiveness was verified.Results There was a better discrimination effect in the calf, thigh and knee asymmetry, etc., between the control group and the patient group (P<0.05). The characteristics of the calf space motion vector were highest among the control group and the patient group, and the discrimination was relatively stable, and not various with gender, age, height or body mass index.Conclusion The time-coronal-sagittal vector diagrams of left and right limbs were obtained by inertial sensor and the average of the square of the Euclidean distances in space at the selected gait cycle time points was calculated in three-dimensional space, which could be used as a gait asymmetry analysis method.
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