Instrumented Orthotics for Dynamic Motion Tracking
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Solution Overview
Problem
Current orthotics and data collection methods in orthopedic, sports, and rehabilitation medicine are limited by their static nature, failing to provide dynamic data on human motion, leading to inadequate understanding and management of mechanically induced problems, resulting in inefficient treatments and high costs.
Innovation Solution
An AI-driven motion tracking system using instrumented semi-rigid orthotics with embedded sensors to capture time-normalized three-dimensional data on human motion, allowing for dynamic analysis and comparison of limb movements, facilitating improved clinical and athletic performance, and reducing costs through personalized treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static data collection methods are used, then device complexity is reduced, but measurement precision and understanding of human motion deteriorate
Solution Approach 1:
The patent applies dynamics by transitioning from static orthotics to dynamic, adjustable orthotics that can adapt to real-time motion data. The system collects dynamic motion data during actual movement and uses this information to adjust orthotic parameters, making the device responsive to changing mechanical conditions rather than fixed in a static configuration.
Solution Approach 2:
The patent implements feedback mechanisms where motion capture data from sensors is continuously collected and fed back to adjust orthotic settings. This closed-loop system allows the orthotics to respond to actual performance data, enabling real-time optimization of mechanical support based on measured motion patterns and individual patient needs.
2Adaptability or versatility
If static orthotics are used, then manufacturing precision requirements are reduced, but adaptability to individual patient needs deteriorates
Solution Approach 1:
The patent applies preliminary action by collecting and analyzing motion data before finalizing orthotic customization. Motion capture systems record patient movement patterns in advance, allowing clinicians to pre-process this data and determine optimal orthotic configurations before manufacturing or fitting, thereby reducing the need for highly precise manual adjustments during fitting.
Solution Approach 2:
The patent utilizes parameter changes by allowing orthotic characteristics to be modified based on collected motion data. The system enables adjustment of various parameters such as stiffness, alignment, and support characteristics according to measured performance metrics, providing customization without requiring extremely tight manufacturing tolerances since adjustments can be made post-manufacturing.
3Measurement precision
If dynamic motion tracking is implemented, then diagnostic accuracy is improved, but loss of time for data collection and processing increases
Solution Approach 1:
The patent applies continuity of useful action by implementing continuous motion data collection during natural patient movement rather than requiring separate, time-consuming measurement sessions. The system captures diagnostic information continuously as patients perform their regular activities, eliminating interruptions and allowing data collection to occur seamlessly alongside normal function.
Solution Approach 2:
The patent implements self-service by enabling the system to automatically process and analyze collected motion data without requiring extensive manual intervention. Automated algorithms process the raw motion capture data to extract diagnostic information, reducing the time clinicians need to spend on manual analysis and allowing the system to generate insights autonomously from the collected data.
Data Source
AI summary
AI driven motion tracking and alignment systems configured to generate time-normalized three dimensional (e.g. frontal, sagittal, transverse) data associated with pronation and/or supination of lower extremities of a user are described. A semi-rigid foot orthotic can have sensors embedded in flexible regions. Data from the sensors is used to measure how the orthotic bends to determine forces from a lower extremity of the user acting on the orthotic. Data on the flexing, bending, and/or rotating of portions of the orthotic (including velocities, accelerations) may be compared to analyze in shoe pronation and/or supination. Other detectors can measure the temperature, body weight, heart rate, and timing of motion. An adjustment device can be used to adjust the orthotic. Data may also facilitate generation of animation that accurately depicts the positions and/or movements of a user's body; the use of augmented and virtual reality for avatar based applications; and presentation of information.