前交叉韧带断裂三维不对称度步态分析初探

doi:10.3969/j.issn.1006-9771.2018.08.016

《中国康复理论与实践》 ›› 2018, Vol. 24 ›› Issue (8): 956-962.doi: 10.3969/j.issn.1006-9771.2018.08.016

前交叉韧带断裂三维不对称度步态分析初探

李玳¹, 于宏², 梁子轩¹, 黄红拾¹, 石海华², 刘晓民², 敖英芳¹

1. 北京大学第三医院运动医学研究所,北京市运动医学关节伤病重点实验室,北京市100191;
2. 北京工业大学信息学部信息与通信工程学院,北京市 100124

收稿日期:2018-05-22 修回日期:2018-07-18 出版日期:2018-08-25 发布日期:2018-08-20
通讯作者: 敖英芳、刘晓民。E-mail: yingfang.ao@vip.sina.com (敖英芳); liuxiaomin@bjut.edu.cn (刘晓民)
作者简介:李玳(1985-),女,汉族,北京市人,博士,主要研究方向：运动医学康复、步态、远程医疗。共同第一作者：于宏(1994-),男,汉族,山西朔州市人,硕士研究生,主要研究方向：医学图像处理与神经网络。
基金资助:
1. 2017年度北京市科技新星计划交叉学科合作课题(No. xxjc201705); 2. 北京工业大学基础研究基金项目(No. PXM2017_014204_500087)

Initiatory Application of Three-dimensional Asymmetry on Anterior-cruciate-ligament Rupture Gait Analysis

LI Dai¹, YU Hong², LIANG Zi-xuan¹, HUANG Hong-shi¹, SHI Hai-hua², LIU Xiao-min², AO Ying-fang¹

1. Institute of Sports Medicine, Peking University Third Hospital, Beijing Key Laboratory of Sports Injuries, Beijing 100191, China;
2. School of Information and Communication Engineering, Beijing University of Technology, Beijing 100124, China

Received:2018-05-22 Revised:2018-07-18 Published:2018-08-25 Online:2018-08-20
Contact: AO Ying-fang; LIU Xiao-min. E-mail: yingfang.ao@vip.sina.com (AO Ying-fang); liuxiaomin@bjut.edu.cn (LIU Xiao-min)
Supported by:
Supported by Beijing Nova Program Interdisciplinary Cooperation Project (No. xxjc201705) and Beijing University of Technology Basic Research Foundation (No. PXM2017_014204_500087)

摘要/Abstract

摘要： 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。

关键词: 步态分析, 不对称度, 空间矢量, 惯性元件

Abstract: 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.

Key words: gait analysis, asymmetry, space vector, inertial sensors

中图分类号:

R496

李玳, 于宏, 梁子轩, 黄红拾, 石海华, 刘晓民, 敖英芳. 前交叉韧带断裂三维不对称度步态分析初探[J]. 《中国康复理论与实践》, 2018, 24(8): 956-962.

LI Dai, YU Hong, LIANG Zi-xuan, HUANG Hong-shi, SHI Hai-hua, LIU Xiao-min, AO Ying-fang. Initiatory Application of Three-dimensional Asymmetry on Anterior-cruciate-ligament Rupture Gait Analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2018, 24(8): 956-962.

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前交叉韧带断裂三维不对称度步态分析初探

Initiatory Application of Three-dimensional Asymmetry on Anterior-cruciate-ligament Rupture Gait Analysis

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