Dementia Identification Model Training via Non-Invasive Cognitive Tests

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Solution Overview

Problem

Current dementia diagnosis methods using miR-206 in olfactory tissue and blood biomarkers require invasive procedures, leading to patient discomfort and rejection.

Innovation Solution

A method for training a dementia identification model using test result data from non-invasive tasks like the Stroop test, computational power test, and memory test, which are performed on a device and labeled with score values to improve diagnosis accuracy without causing patient discomfort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If invasive methods such as biopsy or blood collection are used to obtain biomarkers for dementia diagnosis, then diagnostic accuracy is improved, but patient discomfort and rejection increase

Engineering Contradiction:

Improvediagnostic accuracyVSAvoidpatient discomfort and rejection

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent replaces invasive mechanical/biological procedures (biopsy, blood collection) with non-invasive digital testing methods. The system uses cognitive tests (Stroop test, computational power test, memory test) that can be administered through digital devices, substituting the need for physical sampling and laboratory analysis while maintaining diagnostic capability through alternative measurement of cognitive functions.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces digital testing platforms and cognitive assessment tools as intermediaries between the patient and the diagnostic process. Instead of directly extracting biological samples, the system uses digital interfaces and software-based cognitive tests to assess dementia-related cognitive impairments, providing an indirect but effective diagnostic pathway that avoids patient discomfort.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If non-invasive digital tests are used for dementia diagnosis, then patient comfort is improved, but diagnostic accuracy may be reduced

Engineering Contradiction:

Improvepatient comfortVSAvoiddiagnostic accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent changes the measurement parameters from biological markers (miR-206, blood biomarkers) to cognitive performance parameters. By measuring response times, accuracy rates, and performance patterns across multiple cognitive domains through digital tests, the system transforms the diagnostic approach to rely on behavioral and cognitive metrics that can be captured non-invasively while providing sufficient diagnostic information.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent employs multiple cognitive tests across different domains (attention, computational power, memory) rather than relying on a single test. This excessive action approach ensures that even if individual tests have limitations, the aggregate data from multiple assessments provides robust diagnostic accuracy while maintaining patient comfort through non-invasive methodology.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11862301B2Technique for training dementia identification model based on test result data

Publication Date: 2024.01.02 HAII CO LTD

AI summary

Disclosed is a method of training the dementia identification model. More particularly, the method may include obtaining test result data through at least one of a first task related to Stroop test, a second task related to a computational power test, and a third task related to a memory test; and labeling the test result data with a score value to train the dementia identification model.