Multidimensional Trajectory Analysis for Progressive System Dysfunction
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Solution Overview
Problem
Existing techniques face challenges in consistently and quantitatively characterizing progressive multilateral system dysfunction, particularly in medical conditions like Parkinson's disease and other bilateral or multilateral dysfunctions, where it is difficult to relate image analysis results to disease progression and determine confidence levels.
Innovation Solution
A method involving the comparison of system health measurements to a predefined pattern of progressive dysfunction, using a multidimensional space to represent health measures and calculate the degree of progression, along with a confidence measure, based on statistical analysis of similar systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If independent measures of uptake in left and right striata are used with asymmetry calculation, then the measurement process is simple, but the consistent and quantitative characterisation of multilateral dysfunction is problematic
Solution Approach 1:
The patent combines multiple independent health measures into a unified progression index by mapping them to a predefined trajectory in multidimensional space. This merging approach integrates asymmetry measurements with absolute uptake values, producing a single consistent quantitative characterisation of disease progression rather than separate independent measures.
Solution Approach 2:
The patent transitions from two-dimensional independent measurements (left striatum uptake, right striatum uptake) to a three-dimensional framework by adding the progression index dimension. The predefined trajectory in multidimensional space provides a new dimensional context that enables consistent quantitative characterisation while maintaining operational simplicity.
2Measurement precision
If a single measurement indicating degree of progression is produced, then quantitative characterisation is improved, but the device complexity increases due to multidimensional space and trajectory comparison
Solution Approach 1:
The patent performs preliminary action by pre-defining the trajectory of progressive dysfunction in multidimensional space based on training data from multiple systems. This preprocessing step creates a reference framework that simplifies subsequent analysis, as the complex multidimensional comparisons are already structured in advance rather than computed in real-time for each case.
Solution Approach 2:
The patent creates a simplified copy or representation of the complex multidimensional health state by projecting it onto the predefined trajectory. The progression index serves as a one-dimensional copy that captures the essential progression information while eliminating the complexity of full multidimensional analysis, making the measurement precise without requiring complex ongoing computation.
3Reliability
If confidence measures are calculated from distance to trajectory, then reliability of measurement is improved, but the computational requirements and analysis complexity increase
Solution Approach 1:
The patent replaces complex statistical confidence analysis with a geometric distance calculation in multidimensional space. Instead of performing elaborate hypothesis testing or error analysis, the confidence measure is derived from the straightforward Euclidean distance between the measured health state point and the predefined trajectory, significantly reducing computational complexity while maintaining reliability.
Data Source
AI summary
Methods and systems of measuring progressive multilateral dysfunction of a system are provided. Methods of measuring progressive multilateral dysfunction of a system include, obtaining a plurality of different health measures for the system, defining a multidimensional space with one dimension corresponding to each health measures and defining a point in the multidimensional space representing the values of the health measures. Further the method includes, comparing the position of the defined point to a predefined trajectory through said multidimensional space representing progressive multilateral dysfunction of the system where the measure of the progressive multilateral dysfunction of the system is calculated from the position of the point relative to the predefined trajectory.