Biological Information Display Apparatus Reliability Level Segmentation
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Solution Overview
Problem
Existing biological information displaying methods face challenges in accurately distinguishing between measurement values with high and low reliability due to noise influences, particularly in wireless transmission and non-wireless data acquisition scenarios, leading to difficulties in visualizing and interpreting biological data.
Innovation Solution
A biological information displaying apparatus and method that measures, calculates, and displays specific measurement values based on reliability indices, using a calculating section to determine reliability levels and a displaying section to differentiate between high and low reliability values through trend graphs, moving averages, and dispersion analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a filter is used to eliminate noise from biological information data, then the reliability of measurement values is improved, but the device complexity increases and actual biological information may be eliminated
Solution Approach 1:
The system automatically determines reliability levels by calculating dispersion values from the data itself, without requiring external filter constants or manual intervention. The measuring section, calculating section, and determining section work together to self-regulate the display based on inherent data characteristics.
Solution Approach 2:
The patent changes the parameter of data presentation by introducing reliability levels (high, medium, low) that modify how measurement values are displayed. Instead of using a filter, the system changes the display parameters based on calculated dispersion values, allowing flexible adaptation without complex filtering mechanisms.
2Device complexity
If no filter is used to display all biological information data, then the device complexity is reduced, but the measurement precision deteriorates when many noises occur
Solution Approach 1:
The patent segments the displayed data into different reliability levels (high, medium, low). By dividing the data into these segments, the system maintains simplicity while improving precision - noisy data with low reliability is separated from reliable data, making the biological information more visible and distinguishable.
Solution Approach 2:
The displaying section visually distinguishes measurement values by their reliability levels, using different colors or visual characteristics. This allows the human eye to quickly identify and focus on high-reliability biological information while filtering out noise visually, without requiring complex data processing.
3Ease of operation
If wireless transmission intensity is used to determine reliability, then the ease of operation is improved, but the adaptability deteriorates for non-wireless data acquisition scenarios
Solution Approach 1:
The patent creates a universal reliability determination method that works for any data acquisition method. Instead of relying on wireless transmission intensity, the system calculates dispersion values from the biological information data itself, making it applicable to both wireless and non-wireless scenarios, as well as to different types of biological measurements.
Solution Approach 2:
The patent introduces dispersion value calculation as an intermediary between the raw measurement data and the reliability determination. This intermediary step translates any type of measurement data into a standardized reliability assessment, making the system adaptable to various data acquisition methods without requiring method-specific logic.
4Quantity of substance
If all measurement values are displayed without distinction, then the quantity of information is maximized, but the reliability of the displayed information deteriorates
Solution Approach 1:
The patent applies local quality by differentiating the display characteristics of measurement values based on their individual reliability levels. Each data point is assigned a quality attribute (high, medium, low reliability) that modifies its visual presentation, allowing the system to maintain quantity while improving reliability through localized differentiation.
Data Source
AI summary
A biological information displaying apparatus includes: a measuring section which is configured to measure a biological information waveform containing a specific measurement value; a calculating section which is configured to calculate the specific measurement value based on the biological information waveform that is measured by the measuring section in a designated unit time; a determining section which is configured to determine a level of a reliability of the specific measurement value that is calculated by the calculating section, based on the biological information waveform that is measured by the measuring section in the unit time; and a displaying section which is configured to display a trend graph of the specific measurement values while the specific measurement values are distinct according to the level of the reliability that is determined by the determining section.