Initiatory Application of Three-dimensional Asymmetry on Anterior-cruciate-ligament Rupture Gait Analysis
10.3969/j.issn.1006-9771.2018.08.016
- VernacularTitle:前交叉韧带断裂三维不对称度步态分析初探
- Author:
Dai LI
1
;
Hong YU
2
;
Zixuan LIANG
1
;
Hongshi HUANG
1
;
Haihua SHI
2
;
Xiaomin LIU
2
;
Yingfang AO
1
Author Information
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
- Publication Type:Journal Article
- Keywords:
gait analysis, asymmetry, space vector, inertial sensors
- From:
Chinese Journal of Rehabilitation Theory and Practice
2018;24(8):956-962
- CountryChina
- Language:Chinese
-
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.