Dementia Detection via Sleep Motion Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for discerning early-stage dementia require setting rules, such as switch operation, to determine dementia likelihood, which is not practical for assessing mild cognitive disorders without additional measures.
Innovation Solution
A dementia information output system that measures body motion during sleep periods and outputs dementia information based on the frequency of differences between healthy and affected individuals, using a non-transitory recording medium with a control program to execute this process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a rule-based system (such as switch operation) is used to determine dementia likelihood, then the system can identify specific behavioral patterns, but the system requires pre-set rules and additional user actions that reduce ease of operation
Solution Approach 1:
The system automatically collects body motion data during sleep without requiring any user action or rule-setting. The user simply needs to wear the sensor during sleep, and the system autonomously processes the data to determine dementia likelihood, eliminating the need for manual switch operations or rule configuration.
Solution Approach 2:
The patent replaces manual mechanical interactions (switch operations) with automatic sensor-based detection. Instead of requiring users to physically operate switches to provide data, the system uses body motion sensors to automatically capture and analyze physiological data during sleep.
2Reliability
If pre-set rules are required for dementia assessment, then the system can systematically evaluate specific behaviors, but the system complexity increases due to rule configuration and management
Solution Approach 1:
The system automatically processes body motion data using pre-programmed algorithms that analyze sleep patterns without requiring users or operators to configure rules. The determination unit autonomously evaluates the collected data against established criteria, maintaining consistency while eliminating configuration complexity.
Solution Approach 2:
The system transitions from rule-based behavioral assessment to parameter-based physiological measurement. By measuring objective body motion parameters during sleep (such as movement frequency, intensity, and patterns) and comparing them against reference values, the system achieves reliable assessment without complex rule configuration.
3Loss of information
If additional user actions (such as switch operation) are required for assessment, then more behavioral data can be collected, but the ease of operation decreases
Solution Approach 1:
The system collects comprehensive behavioral and physiological data automatically during sleep without requiring any user actions. The body motion sensor continuously monitors and records sleep patterns, ensuring complete data collection while maintaining maximum ease of operation.
Solution Approach 2:
The system collects data during the periodic sleep cycle rather than requiring continuous user interaction. By focusing measurement on the sleep period when the user is passive, the system achieves comprehensive data collection without imposing operational burdens during waking hours.
Data Source
AI summary
A dementia determination device in a dementia information output system includes an obtainer which obtains, on a per unit period basis, the result of measuring body motion of a user in a sleep time period; and an outputter which outputs dementia information indicating the likelihood that the user is developing a mild cognitive disorder based on the occurrence frequency of a unit period in which the magnitude of a difference between reference data on body motion of a healthy subject in a sleep time period and the result of measuring obtained by the obtainer exceeds a predetermined threshold value.