Earphone Pulse Wave Sensors with Movement Correction
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Solution Overview
Problem
Biological information measurement accuracy is compromised due to shifts in blood vessel position and movement, leading to noise inclusion in sensor data, particularly when using earphone-based measurement apparatuses.
Innovation Solution
A biological information measurement apparatus employing multiple biological sensors and a controller that calculates and compares outputs, incorporates body movement sensors to detect and correct for movement-induced noise, thereby improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single biological sensor is used for measurement, then the device structure is simple, but measurement accuracy deteriorates due to noise from body movement and blood vessel position shifts
Solution Approach 1:
The patent divides the measurement system into multiple independent biological sensors (e.g., multiple pulse wave sensors) that simultaneously measure biological information at different locations. Each sensor provides separate measurement data, allowing the system to segment the measurement task across multiple components rather than relying on a single sensor, thereby improving accuracy while managing complexity through modular design
Solution Approach 2:
The patent combines multiple biological sensor measurements with body movement sensor data into a unified measurement system. The controller integrates information from both the biological sensors and body movement sensors to comprehensively assess and correct measurement data, merging multiple data sources to achieve higher measurement accuracy than any single sensor could provide
2Reliability
If multiple biological sensors are deployed to improve measurement accuracy, then measurement reliability improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where the controller continuously monitors measurements from multiple biological sensors and body movement sensors, compares the data, and selectively determines the most reliable measurement results. The system uses feedback from body movement detection to identify and correct or exclude measurements affected by movement, thereby maintaining high reliability while managing processing complexity through intelligent data evaluation
Solution Approach 2:
The patent changes the parameter of sensor quantity from one to multiple, deploying several biological sensors simultaneously to improve measurement reliability. This parameter change allows the system to obtain multiple measurement readings that can be compared and validated, enhancing reliability while the controller manages the increased data volume through systematic processing procedures
3Measurement precision
If body movement detection and correction is implemented, then measurement accuracy under movement conditions improves, but device complexity and energy consumption increase
Solution Approach 1:
The patent implements a dynamic measurement system where the controller adaptively adjusts its processing based on detected body movement conditions. When body movement is detected, the system activates correction procedures using body movement sensor data; when no movement is detected, the system can operate with simpler processing. This dynamic approach improves measurement accuracy during movement while reducing energy consumption during stationary periods by avoiding unnecessary processing
Data Source
AI summary
A biological information measurement apparatus includes a plurality of biological sensors of the same type (111a and 111b) and a controller (120) that measures biological information based on biological measurement outputs obtained from the biological sensors (111a and 111b).