Biological Information Timing Derivation for Diagnostic Accuracy
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Solution Overview
Problem
Current technologies lack the ability to determine optimal timing for measuring certain biological information, which is crucial for accurate diagnosis, especially for conditions like diabetic retinopathy where lesions appear differently based on the subject's state, such as after eating or exercise.
Innovation Solution
An information processing apparatus and system that acquires first biological information over time and derives a suitable timing for measuring second biological information, using changes in the first information to predict and instruct the optimal measurement time for the second information, ensuring it is captured in a state suitable for diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biological information is measured at arbitrary timings, then measurement can be performed frequently, but diagnostic accuracy deteriorates because lesions appear differently based on subject state
Solution Approach 1:
The system performs preliminary monitoring of first biological information (e.g., blood glucose levels) to identify optimal measurement timings before the actual second biological information measurement is conducted. This advance preparation ensures that measurements are taken at diagnostically optimal moments without delaying the measurement process.
Solution Approach 2:
The system continuously monitors first biological information and uses this feedback to dynamically determine when to perform second biological information measurements. The monitoring results feed back into the timing decision process, creating a closed-loop system that adapts to the subject's physiological state in real-time.
2Measurement precision
If multiple biological information measurements are performed to ensure accurate diagnosis, then diagnostic accuracy improves, but system complexity increases
Solution Approach 1:
The measurement system is divided into two distinct components: first biological information monitoring (e.g., continuous glucose monitoring) and second biological information measurement (e.g., fundus imaging). This segmentation allows each component to be optimized independently while working together to achieve accurate diagnosis.
Solution Approach 2:
The first biological information acts as an intermediary that bridges the gap between arbitrary time points and optimal measurement timings. By monitoring this intermediate parameter, the system can indirectly determine when to perform the actual diagnostic measurement without requiring complex real-time analysis of the target lesion itself.
3Measurement precision
If biological information is measured continuously over time, then timing accuracy improves, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system performs periodic sampling of first biological information at predetermined intervals. This periodic approach maintains sufficient timing accuracy for identifying optimal measurement windows while significantly reducing energy consumption compared to truly continuous monitoring.
Solution Approach 2:
The system monitors first biological information more extensively than strictly necessary for the final measurement, using this excess information to improve timing accuracy. The additional monitoring effort is justified by the significant improvement in diagnostic timing precision it provides.
Data Source
AI summary
An information processing apparatus comprising at least one processor, wherein the processor is configured to: acquire first biological information of a subject over time; and derive a timing suitable for measuring second biological information of the subject different from the first biological information based on the first biological information.