Knee Joint Dynamic Evaluation Using Calibration Extraction
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Solution Overview
Problem
Current methods for analyzing joint movement are static and cannot dynamically track the movement of human joints, leading to subjective and qualitative assessments that lack objectivity and precision.
Innovation Solution
A joint movement analysis system comprising a calibrating device for setting marker points, an optical tracking device for capturing movement data, and a data analyzing device for optimizing and simulating joint movement, allowing for dynamic and objective analysis of joint motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple motion capture cameras are used to capture joint motion, then measurement precision is improved, but device complexity and ease of operation deteriorate due to systematic calibration requirements and large floor space needed
Solution Approach 1:
The patent extracts the calibration complexity from the measurement system by using a calibration device with predetermined marker point positions. The calibration device separately establishes the correspondence between marker points and anatomical landmarks without requiring complex multi-camera calibration, thus removing the burden of systematic calibration while maintaining measurement precision
Solution Approach 2:
The patent uses a calibration device that creates a simplified copy of the joint structure with marker points positioned at predetermined locations corresponding to anatomical landmarks. This copying approach allows establishing coordinate systems and marker point correspondences without needing the full complexity of multiple motion capture cameras and their calibration procedures
2Measurement precision
If multiple motion capture cameras are used to capture joint motion, then measurement precision is improved, but ease of operation worsens due to large floor space requirements
Solution Approach 1:
The patent extracts the essential function of joint motion capture from the complex multi-camera system by using a calibration device with predetermined marker positions. This extraction allows achieving measurement precision without requiring large floor space for multiple cameras
Solution Approach 2:
The calibration device creates a simplified representation of the joint with marker points at predetermined positions, copying only the essential measurement functionality needed for joint motion analysis, thus eliminating the space requirements of full multi-camera systems
3Device complexity
If static imaging methods are used for joint analysis, then device complexity is reduced, but measurement precision deteriorates because static images cannot track joint movement
Solution Approach 1:
The patent applies dynamics by using the calibration device to establish marker point positions that can track joint movement throughout the range of motion. The predetermined marker positions on the calibration device allow dynamic tracking of joint kinematics while maintaining system simplicity
Solution Approach 2:
The patent uses preliminary action by pre-positioning marker points on the calibration device at locations corresponding to anatomical landmarks. This preliminary setup enables subsequent dynamic tracking of joint movement without requiring complex real-time calibration during motion
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, quantitative tracking of joint movement, facilitating better diagnosis and treatment evaluation, and reducing the need for extensive space and cumbersome calibration processes.
Implementation Method 1
an optical tracking device which is used for tracking the space position of the actual marker points so as to obtain a space movement data of the actual marker points
Data Source
AI summary
A knee joint dynamic evaluation method for diagnosing human joint diseases by tracking motions of the knee joint includes constructing an evaluation model including a first angular difference threshold α1, a second angular difference threshold α2, and an anterior-posterior displacement difference threshold ε; synchronously collecting a single set of three-dimensional and six-degree-of-freedom movement data of a left knee joint and that of a right knee joint with devices; comparing the three-dimensional and six-degree-of-freedom movement data between the left and right knee joints with a data analyzing device, and calculating differences of the flexion and extension angles, the medial and lateral tilt angles, the medial and lateral rotation angles, and the anterior-posterior displacement movement values of the two sets of movement data; inputting the differences into the evaluation model to obtain the corresponding grading system, which will output the first, second, third, or fourth evaluation level.