AGEs Measurement-Based Lifestyle Advice With Multisource Data
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Solution Overview
Problem
Existing systems fail to provide optimal advice on lifestyle habits based on advanced glycation end products (AGEs) measurements alone, potentially undermining positive motivation and accuracy due to the inability to specify which habits to improve.
Innovation Solution
An advice system that integrates AGEs measurements with other data such as body composition, blood pressure, exercise, sleep, and dietary logs to generate personalized advice for lifestyle improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If advice is provided based only on AGEs measurement value, then the advice process is simple, but the advice cannot specifically determine which lifestyle habit to improve
Solution Approach 1:
The patent combines AGEs measurement data with multiple other data types (body composition, blood pressure, exercise, sleep, diet) to create a comprehensive advice system. This merging of data sources enables specific identification of which lifestyle habits need improvement while maintaining system manageability through automated processing.
Solution Approach 2:
The advice device is designed to handle multiple data types and generate comprehensive advice covering various lifestyle aspects. The system can process different data formats and generate tailored advice for different lifestyle habits, making it universally applicable to various health scenarios.
2Adaptability or versatility
If comprehensive advice about generally known lifestyle habits is provided, then all possible lifestyle areas are covered, but the advice may unintentionally deny lifestyle habits the subject is already improving
Solution Approach 1:
The system uses feedback from multiple data sources to dynamically adjust advice. By continuously monitoring body composition, blood pressure, exercise, sleep, and diet data, the system can identify which lifestyle habits are already improving and tailor advice accordingly, avoiding denial of positive efforts while maintaining comprehensive coverage.
Solution Approach 2:
The advice is customized to the individual's specific situation rather than being generic. The system identifies specific lifestyle areas needing improvement based on the subject's actual data patterns, providing targeted advice that respects their existing positive habits while addressing areas that need attention.
3Measurement precision
If multiple data points are integrated for advice generation, then personalized and accurate advice is achieved, but the system complexity increases
Solution Approach 1:
The system segments the advice generation process into distinct modules that handle different data types separately before integrating them. Each data source (body composition, blood pressure, exercise, sleep, diet) is processed through dedicated algorithms, making the overall complex system more manageable and maintainable while achieving high precision through integrated analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides optimal advice tailored to individual lifestyle habits, enhancing motivation and effectiveness by considering multiple data points, even for supporters lacking counseling skills.
Implementation Method 1
PTL 1 discloses a sensor which receives fluorescence excited by light radiated to expose the skin of a subject thereto and measures a degree of accumulation of AGEs based on the intensity of the received fluorescence.
Data Source
AI summary
An advice device comprises a computing device and a communication device communicably connected to the computing device. The communication device obtains a measurement value of an advanced glycation end product of a subject and a plurality of other data of the subject that are different from the measurement value of the advanced glycation end product. The computing device generates advice information for the life of the subject based on the measurement value of the advanced glycation end product obtained by the communication device and at least one of the plurality of other data obtained by the communication device.