Biosignal Synchronization for Non-Invasive Biometric Accuracy
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Solution Overview
Problem
Existing biosignal analysis methods often require invasive procedures and struggle with accuracy due to measurement errors, especially when detecting pulse waves without direct contact or proper synchronization between different devices.
Innovation Solution
A system comprising a communicator, synchronizer, and processor in separate, independently operated apparatuses that receive and compare biosignals to derive biometric information, including pulse wave velocity, blood pressure, and blood vessel elasticity, using a combination of biosignal detectors and synchronization signals to enhance accuracy and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive methods are used to detect pulse waves, then ease of operation is improved, but measurement precision deteriorates due to measurement errors
Solution Approach 1:
The patent combines biosignals detected by multiple independent apparatuses (wearable device and external device) to obtain biometric information. By merging data from different detection locations and comparing synchronized biosignals, the system improves measurement accuracy while maintaining non-invasive detection benefits.
Solution Approach 2:
The system uses synchronization signals to coordinate detection timing between devices and compares biosignal characteristics to provide feedback on measurement quality. This enables error reduction through comparative analysis and validates measurement accuracy through cross-device verification.
2Device complexity
If biosignals are detected by separate independent apparatuses, then device complexity is reduced for each device, but measurement precision deteriorates due to lack of coordination
Solution Approach 1:
The patent introduces a synchronizer as an intermediary component that coordinates between separate independent apparatuses. The synchronizer exchanges synchronization signals to align detection timing, enabling accurate comparison of biosignals from different devices without requiring complex integrated systems.
Solution Approach 2:
Each apparatus is designed to be independently functional with its own biosignal detector and processing capabilities, while also serving as part of a collaborative measurement system. This multi-functionality allows devices to operate autonomously or in coordination, maintaining simplicity while enabling precise comparative analysis.
3Measurement precision
If synchronization signals are implemented between devices, then measurement precision is improved, but device complexity increases due to additional components
Solution Approach 1:
The synchronization function is segmented into a dedicated synchronizer module that handles timing coordination separately from the main biosignal detection and processing functions. This modular approach isolates the complexity of synchronization to a specific component, making the overall system more manageable while achieving precise coordination.
4Measurement precision
If multiple biosignal detectors are used, then measurement precision is improved through comparison, but device complexity increases due to additional detectors
Solution Approach 1:
The detection system is segmented across multiple independent apparatuses rather than concentrating all detectors in one device. Each apparatus has its own biosignal detector, distributing the detection function and reducing the complexity burden on any single device while enabling comparative analysis for improved accuracy.
Data Source
AI summary
An apparatus for analyzing a biosignal is provided. The apparatus includes a communicator configured to receive from an external device a first biosignal of an object detected by the external device; a synchronizer configured to transmit a synchronization signal to from the external device or receive the synchronization signal from the external device; at least one biosignal detector configured to detect a second biosignal of the object according to the synchronization signal; and a processor configured to compare characteristics of the first biosignal and the second biosignal and obtain biometric information having correlation with a result of the comparison.