Partial Detection Area Signal Extraction for Biometric Accuracy
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Solution Overview
Problem
Detection devices face challenges in acquiring accurate blood oxygen saturation levels due to subcutaneous blood vessel distribution and noise components caused by disturbances and body movements, leading to inaccurate transcutaneous data.
Innovation Solution
A detection device with a sensor divided into multiple partial detection areas, where a detector extracts areas with strong signal strength and acquires biometric data, improving data accuracy by focusing on optimal signal extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transcutaneous data is acquired using a single detection area, then the device complexity is low, but the measurement precision is poor due to subcutaneous blood vessel distribution and noise
Solution Approach 1:
The detection area is divided into multiple partial detection areas (e.g., first partial detection area and second partial detection area). Each area can be independently processed to extract biometric data, allowing the system to select areas with strong signal strength while discarding areas with weak or noisy signals, thereby improving measurement precision without requiring a completely new sensor design
Solution Approach 2:
Different partial detection areas are treated differently based on their local characteristics. The detector evaluates signal strength in each area and selectively uses only the areas with strong signal strength for biometric data acquisition. This allows the system to adapt to local variations in subcutaneous blood vessel distribution and signal quality, improving overall measurement accuracy
2Measurement precision
If all partial detection areas are used for data acquisition, then the productivity is high, but the measurement precision is reduced due to noise components from disturbances and body movements
Solution Approach 1:
The detector extracts and identifies partial detection areas with strong signal strength, separating them from areas with weak or noisy signals. By taking out only the useful areas with strong signals for biometric data acquisition, the system improves measurement precision while maintaining efficient data collection from the most reliable areas
Solution Approach 2:
The system continuously evaluates signal strength in each partial detection area and uses this feedback to determine which areas should be used for data acquisition. This feedback mechanism allows the system to dynamically select optimal areas, improving both precision and productivity by avoiding noisy areas while maintaining efficient data collection
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
The solution enhances the accuracy of biometric data acquisition by isolating areas with strong signal strength, reducing noise and improving the reliability of blood oxygen saturation level measurements.
Implementation Method 1
a pulse wave acquired by infrared light and a pulse wave acquired by red light are used
Implementation Method 2
detecting light transmitted through or reflected by arteries
Data Source
AI summary
According to an aspect, a detection device includes: a sensor having a detection area divided into a plurality of partial detection areas; and a detector configured to extract, from among the partial detection areas, one or more partial detection areas in each of which a signal strength of data satisfying a predetermined condition is acquired, and acquire biometric data on an object to be detected based on detection signals detected in a biometric data acquisition area including the extracted one or more partial detection areas.