Biomechanical Mechanism of the Change of the Gait Touch Information After ACL Rupture
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
Summary
- Conditions
- Anterior Cruciate Ligament Injuries
- Type
- Observational
- Design
- Observational Model: Case-ControlTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 35 years
- Gender
- Both males and females
Description
The purpose of this study is to identify the characteristics of the disease, diagnose the disease by computer and evaluate the rehabilitation based on gait touch information after ACL rupture and reconstruction, combined with the methods of multi-body dynamics, machine learning and biomechanics anal...
The purpose of this study is to identify the characteristics of the disease, diagnose the disease by computer and evaluate the rehabilitation based on gait touch information after ACL rupture and reconstruction, combined with the methods of multi-body dynamics, machine learning and biomechanics analysis. Methods: 55 healthy volunteers, 55 patients with ACL rupture were recruited. Three dimensional gait analysis and dynamic plantar pressure were used to test the kinematic and dynamic data of lower limbs and gait touch information when walking, jogging, stopping and jumping, and running side cutting. Outcome evaluation indexes and statistical methods: the following indexes were measured repeatedly by two factor ANOVA method, and the left and right sides and different rehabilitation time were used as the variables of repeated measurement: the biomechanics of the lower limb joint and the change of the biological characteristics of gait touch information were analyzed. To study the biomechanical status of different knee joints and the mechanism of the change of gait touch information. Finally, based on the information of gait touch, a biomechanical evaluation model of knee joint during walking or jogging is established, which provides the exact basis for quantifying and evaluating the biomechanical state of knee joint under the dynamic load-bearing state of gait touch information.
Tracking Information
- NCT #
- NCT04464330
- Collaborators
- Not Provided
- Investigators
- Study Chair: Hongshi Huang, Doctor Peking University Third Hospital