Biological Signal Accuracy Screening for Selective Data Output
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Solution Overview
Problem
Existing biological signal measurement systems face challenges in accurately selecting and recording suitable biological information due to the vast amount of measurement data and noise, requiring significant effort to filter and identify relevant information.
Innovation Solution
A terminal device equipped with a biological signal acquisition unit, determining unit, and controller to assess the accuracy of biological information in real-time, allowing for differentiated handling and display/output based on accuracy determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement data is collected continuously to improve accuracy, then measurement precision is improved, but the quantity of data increases making selection and recording difficult
Solution Approach 1:
The system performs preliminary accuracy determination on measurement data before it is fully processed or stored. The determination unit evaluates whether each measurement meets accuracy criteria in advance, allowing the system to filter and select only high-quality data for recording, thus avoiding the burden of managing large volumes of low-quality data while maintaining measurement precision
Solution Approach 2:
The system extracts and separates high-quality measurement data from low-quality data based on accuracy determination. By taking out only the measurement data that meets the accuracy criteria from the vast dataset, the system enables selective recording and processing of useful information while discarding or excluding inaccurate data, resolving the contradiction between data quantity and selection difficulty
2Loss of information
If all measurement data is recorded to preserve information, then loss of information is reduced, but device complexity increases due to data management requirements
Solution Approach 1:
The system extracts and identifies high-quality measurement data through accuracy determination, separating useful information from noisy or inaccurate data. This extraction process allows the system to record only the essential high-quality data rather than all measurement data, reducing storage and management complexity while preserving the most valuable information
Solution Approach 2:
The system applies different handling strategies to different portions of the measurement data based on their quality. High-quality data that meets accuracy criteria is recorded and processed, while low-quality data is excluded or handled differently. This local quality approach optimizes information preservation by focusing resources on valuable data while simplifying overall data management
3Measurement precision
If noise removal processing is applied to improve accuracy, then measurement precision is improved, but loss of time increases due to processing requirements
Solution Approach 1:
The system performs preliminary accuracy determination on measurement data before extensive noise removal or processing is applied. By evaluating data quality in advance, the system can identify high-quality data that requires minimal or no noise removal processing, thereby reducing the time investment in processing while still achieving accurate biological information
Solution Approach 2:
The system applies noise removal or accuracy improvement processing selectively rather than uniformly to all measurement data. Only data that requires such processing to achieve the desired accuracy level undergoes the time-consuming operations, while already high-quality data is processed more efficiently, reducing overall processing time while maintaining measurement precision
Data Source
AI summary
This terminal device is provided with: a biological signal acquisition unit which acquires a biological signal of a person to be measured; a biological information acquisition unit which acquires, on the basis of the acquired biological signal, biological information on the person to be measured; a determination unit which determines whether the biological information on the person to be measured is accurate in the time period in which the biological signal is measured; and a control unit which changes the handling of the biological signal or the biological information according to the determination result from the determination unit.