A detection system for features of gait in knee cartilage degeneration
By designing a gait feature detection system for knee cartilage degeneration, and utilizing a multi-degree-of-freedom motion data acquisition and work position switching mechanism, the system solves the problem of complex and expensive detection in existing technologies, and achieves a simple and accurate assessment of knee cartilage degeneration.
CN116869515BActive Publication Date: 2026-07-24GUANGDONG GENERAL HOSPITAL +1
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Patent Information
- Application Number
- CN202310811516.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-04
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2043-07-04
AI Technical Summary
Technical Problem
Existing methods for detecting knee cartilage degeneration are complex and expensive, making it difficult to achieve real-time and convenient assessment.
Method used
A gait feature detection system for knee cartilage degeneration was designed. By acquiring multi-degree-of-freedom motion data and switching working positions, combined with sagittal and coronal motion models, dynamic images are generated to evaluate knee cartilage degeneration.
Benefits of technology
It enables simple and accurate detection of knee cartilage degeneration, avoids the influence of deliberate exercise, and improves the accuracy and efficiency of detection.
✦ Generated by Eureka AI based on patent content.
Abstract
A kind of detection system and method of knee cartilage degeneration gait graph feature, at least including rack, the surface of the rack is provided with belt conveyor, the upper surface of the rack is fixedly connected with support frame;Work position conversion mechanism, for triggering the switching of measured object from first work position to second work position;Detection acquisition subsystem: it further includes several markers and high-speed camera in image acquisition device, the image acquisition device is used to respectively collect tester in first work position, joint three-dimensional six degrees of freedom motion data in second work position, the three-dimensional six degrees of freedom motion data include flexion, eversion, internal rotation, forward displacement, internal displacement and upward displacement of joint in space;Controller: for extracting the tibia-femur kinematics data of test leg, at least including medial compartment KOA knee varus angle, lateral compartment KOA knee valgus angle in the knee cartilage degeneration gait graph feature point information, and is uniformly regressed as several data points, forms current motion situation curve information.
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