Tablet Drawing Analysis for Neurological Deficit Screening
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Solution Overview
Problem
Current methods for diagnosing neurological deficits, such as Parkinson's Disease, are resource-intensive, subjective, and lack objectivity, relying on skilled clinicians and complex assessments that may not be consistently reproducible.
Innovation Solution
A method using a tablet computer to instruct patients to draw shapes of varying complexity, analyzing drawing characteristics with a random forest of decision trees to provide an objective probability of neurological deficits, enabling rapid, cost-effective, and quantitative screening.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive neurological assessment methods (Datscan, MRI, motor assessment by neurologist) are used, then diagnostic accuracy is improved, but resource consumption and cost increase significantly
Solution Approach 1:
The patent extracts the essential diagnostic function from complex medical imaging and specialist assessment, isolating the core task of detecting movement disorders into a simplified digital drawing test that can be performed without expensive equipment or specialized facilities
Solution Approach 2:
The patent creates a digital copy of the neurological assessment process through tablet-based drawing tasks, replacing physical examinations and imaging procedures with virtual representations that capture essential motor function data
2Ease of operation
If subjective rating scales (UPDRS) are used by neurologists, then diagnostic capability is maintained, but inter-rater reliability decreases due to lack of objectivity
Solution Approach 1:
The patent replaces the mechanical system of human subjective judgment with an automated digital analysis system that objectively measures drawing characteristics, eliminating inter-rater variability while preserving diagnostic capability
Solution Approach 2:
The system provides automated feedback through algorithmic analysis of drawing data, replacing human clinician feedback with consistent, reproducible computational assessments that maintain reliability across different users
3Productivity
If adaptive testing with varying shape complexity is implemented, then screening efficiency is improved, but test complexity increases
Solution Approach 1:
The patent implements dynamic test adaptation where the complexity of drawing shapes adjusts based on patient performance, allowing the system to optimize screening efficiency while managing complexity through automated response to user capability
Data Source
AI summary
A method of screening a patient for a degenerative neurological disorder. The method can comprise the steps of: providing a tablet computer having a touchscreen to the patient, instructing the patient to draw a plurality of shapes, wherein each shape of the plurality of shapes is of varying complexity, recording at least one drawing characteristic for each shape drawn by the patient, mathematically analyzing the at least one drawing characteristic to determine an objective rating for each shape, analyzing the objective rating for each shape using a random forest comprising a plurality of decision trees to determine an objective probability that the patient has a neurological deficit, wherein the objective probability that the patient has a neurological deficit is the percentage of the plurality of decision trees which indicate a disease state.