Cognitive Function Indexing via Biological Activity Feedback
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Solution Overview
Problem
Conventional methods for preventing dementia lack the ability to effectively motivate individuals to continue interventions by providing clear feedback on their cognitive function improvements, leading to low motivation and adherence.
Innovation Solution
A method for indexing cognitive function using biological activity changes, where subjects perform tasks inducing brain activity, and measurement data is analyzed using a model constructed from non-demented and mildly cognitively impaired individuals' data to provide actionable feedback on cognitive function changes, enabling continuous motivation through visible intervention effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional methods for determining cognitive impairment are used, then cognitive function can be assessed, but the subject cannot know the effects of interventions for dementia prevention
Solution Approach 1:
The patent implements a feedback mechanism by providing subjects with their cognitive function index results. The system measures biological signals, processes them through a model to generate a cognitive function index, and returns this information to the subject. This feedback loop enables subjects to understand the effects of their dementia prevention interventions, thereby maintaining motivation to continue participating in such programs.
2Ease of operation
If cognitive function indexing is implemented to provide feedback, then subject motivation improves, but measurement and analysis complexity increases
Solution Approach 1:
The patent introduces an intermediary processing system that bridges the gap between complex biological signal measurements and simple subject interpretation. The system includes a model that processes raw biological signal data and converts it into a comprehensible cognitive function index. This intermediary layer handles the complexity of measurement and analysis internally, while presenting simplified results to the subject, thus maintaining motivation without requiring the subject to understand the underlying complexity.
3Measurement precision
If detailed measurement data is collected to improve indexing accuracy, then cognitive function assessment precision improves, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential features and patterns from the collected biological signal data that are most relevant for cognitive function assessment. Rather than processing all raw measurement data, the system identifies and extracts key characteristics that correlate with cognitive function, feeding these extracted features into the assessment model. This extraction process maintains high assessment precision while significantly reducing the volume of data that needs to be processed and stored.
Data Source
AI summary
A method for indexing cognitive function includes giving, to a subject, a work for inducing biological activity related to cognitive function, acquiring measurement data, and acquiring an index indicating the cognitive function of the subject from the measurement data of the subject using a model constructed in advance.