Circadian Rhythm Management via Multi-Parameter Health Scoring
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Solution Overview
Problem
Current methods lack effective techniques for controlling and detecting changes in circadian rhythms, making it difficult to prevent and treat mental health issues like insomnia, depression, and bipolar disorder effectively.
Innovation Solution
A circadian rhythm management method and apparatus that collects feature information such as heart rate, light exposure, sleep, and step data, calculates health scores, and provides feedback to improve these scores, including mood change prediction and warning alarms, using a user terminal and wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple types of feature information are collected and processed to calculate health scores, then the precision of circadian rhythm evaluation is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the complex evaluation process into distinct modules: collecting unit for gathering feature information, score calculating unit for computing health scores, and feedback providing unit for delivering recommendations. This modular segmentation allows precise multi-parameter evaluation while managing system complexity through organized functional divisions.
Solution Approach 2:
The circadian rhythm management apparatus integrates multiple functions into a single system: it collects various biometric data, calculates health scores across different parameters, provides personalized feedback, and sends warning alarms. This multi-functionality achieves comprehensive circadian rhythm evaluation without requiring separate specialized devices for each function.
2Reliability
If real-time monitoring and feedback are provided to users, then the effectiveness of circadian rhythm management is improved, but the energy consumption increases
Solution Approach 1:
The system implements a feedback mechanism where the feedback providing unit sends health score results and improvement recommendations to user terminals in real-time. This feedback loop enables continuous monitoring and adjustment of circadian rhythm management effectiveness while optimizing energy usage by providing timely rather than constant updates.
Solution Approach 2:
The system enables users to actively participate in their own circadian rhythm management by providing them with health scores, behavioral recommendations, and warning alarms through their user terminals. Users can independently review their data and adjust their behaviors based on the feedback, reducing the need for continuous active system intervention and lowering energy consumption.
3Reliability
If comprehensive feature information is collected from multiple sources, then the reliability of health score calculation is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The collecting unit acts as an intermediary that integrates data from multiple sources including wearable devices and user terminals. This intermediary component standardizes and harmonizes data from different formats and sources, enabling reliable health score calculation while simplifying the complexity of collecting and processing information from multiple channels.
Data Source
AI summary
An apparatus and method for managing a circadian rhythm based on a feedback function are disclosed. The circadian rhythm management method based on the feedback function according to the exemplary embodiment includes collecting feature information including a heart rate information, light exposure information, sleep information, and step information for a user, calculating a health score for the user based on the feature information, and providing feedback information including a behavior pattern to improve the health score based on the calculated health score through a user terminal of the user.