Real-Time Prosthetic Alignment via Motion Sensor Feedback
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Solution Overview
Problem
Current prosthetic alignment techniques are subjective and lack objective methods for achieving optimal dynamic alignment, leading to variability in results and often requiring multiple adjustments for optimal performance.
Innovation Solution
A system utilizing motion sensors and motion blending algorithms, combined with a 3D computational software engine, allows for real-time dynamic alignment of prosthetic limbs by comparing patient data to a database of alignment errors and providing corrective actions for optimal alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual estimation and static alignment techniques are used, then the alignment process is simple and quick, but the alignment precision and dynamic performance are insufficient
Solution Approach 1:
The patent replaces traditional mechanical alignment tools (visual estimation, plumb bobs, static alignment devices) with an electronic measurement and control system. Motion sensors, processors, and display devices create a digital alignment system that provides real-time dynamic alignment data, substituting mechanical methods with electronic measurement and feedback mechanisms to achieve superior precision.
Solution Approach 2:
The patent implements a feedback mechanism where motion sensors continuously monitor the amputee's movement, the processor analyzes the motion data to determine alignment accuracy, and the display device provides real-time feedback to the clinician. This closed-loop feedback system enables dynamic adjustment and optimization of prosthetic alignment during actual use, rather than relying on static initial alignment.
2Reliability
If static alignment only is performed, then the initial setup is faster, but the dynamic alignment under load conditions cannot be accurately achieved
Solution Approach 1:
The patent performs preliminary static alignment to establish an initial prosthetic configuration, then uses motion sensors and real-time monitoring to detect and correct alignment deviations during dynamic movement. This preliminary action followed by real-time correction approach combines the speed of initial static setup with the accuracy of dynamic adjustment, reducing total adjustment time while improving reliability.
Solution Approach 2:
The patent transitions from static alignment methodology to dynamic alignment monitoring. Motion sensors capture real-time movement data, and the processor analyzes dynamic alignment conditions during actual use. The system adapts to changing load conditions and movement patterns, providing reliable alignment information under varying dynamic conditions rather than relying on fixed static measurements.
3Productivity
If multiple repetitive adjustments are made to achieve optimal alignment, then the alignment accuracy improves, but the time required and variability increase
Solution Approach 1:
The patent uses real-time feedback from motion sensors and processors to provide immediate alignment accuracy information to the clinician. This feedback eliminates the need for multiple repetitive trial-and-error adjustments by showing the actual alignment status during movement, allowing for precise single-pass or minimal-adjustment alignment while maintaining high accuracy.
Solution Approach 2:
The patent replaces repetitive manual adjustment and visual assessment with an electronic measurement and display system. Motion sensors objectively measure alignment parameters, and the display device presents this data to the clinician, eliminating the variability and time associated with repeated subjective assessments and manual adjustments.
Data Source
AI summary
An objective method and system for dynamic analysis of prosthesis-bound subjects for determining optimal prosthesis alignment adjustments consists of a motion detection system, motion database, blending engine and algorithms, and a graphical user interface with suitable program controls whereby manual, semi-automatic, or fully automated analysis of a prosthesis-equipped subject's motion performance can be done in real time to determine objectively the optimal adjustments for the subject's prosthesis in a precise clinical protocol context.