ECG Signal Verification Reference Set Update
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Solution Overview
Problem
Existing ECG signal verification methods face challenges in accurately verifying ECG signals across varying user states and conditions, leading to potential false rejections and inefficiencies in updating reference verification information.
Innovation Solution
A method that identifies and verifies ECG signals by comparing them to a reference set, updates the reference set by adding successfully verified signals, and classifies signals into groups based on similarity, using a processor to manage and update the ECG signal sets, thereby improving verification accuracy and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the reference ECG signal set is updated frequently to improve verification accuracy across varying user states, then verification reliability is improved, but system complexity and computational overhead increase
Solution Approach 1:
The reference ECG signal set is dynamically updated based on verification results. Successfully verified ECG signals are added to the reference set, allowing the system to adapt to varying user states (rest, exercise, etc.) while maintaining verification reliability. This dynamic update mechanism resolves the contradiction by making the system flexible without requiring complete reconfiguration.
Solution Approach 2:
The system pre-classifies ECG signals into groups based on user states (rest, exercise, etc.) before verification. By organizing signals into predetermined groups and selecting appropriate reference signals based on the current state, the system reduces computational complexity during verification while maintaining high reliability through state-appropriate comparisons.
2Measurement precision
If more ECG signals are stored in the reference set to improve verification accuracy, then measurement precision is improved, but device complexity and data management burden increase
Solution Approach 1:
The reference ECG signal set is segmented into multiple groups based on user states (rest, exercise, etc.). Instead of managing one large unorganized set, the system divides signals into state-specific groups, making data management more systematic and efficient while maintaining high verification accuracy through appropriate group selection.
Solution Approach 2:
The system changes the parameter of reference signal selection based on user state. By adjusting which reference signals are active (based on detected user state), the system effectively manages large amounts of ECG data without requiring all signals to be simultaneously processed, reducing data management complexity while maintaining verification precision.
3Adaptability or versatility
If ECG signals are classified into multiple groups based on similarity to improve verification adaptability, then adaptability is improved, but computational time and processing complexity increase
Solution Approach 1:
ECG signals are pre-classified into groups based on user states and similarity during system initialization or idle periods. This preliminary classification allows the verification process to simply select from pre-organized groups rather than performing complex similarity calculations in real-time, maintaining high adaptability while reducing processing time during actual verification.
Data Source
AI summary
A method to update reference verification information used for electrocardiogram (ECG) signal verification includes: identifying a first ECG signal measured from a user; verifying the first ECG signal by comparing a second ECG signal included in a reference ECG signal set with the first ECG signal; in response to the first ECG signal being successfully verified, setting the successfully verified first ECG signal to be a third ECG signal, and adding the third ECG signal to a verified ECG signal set; and updating the reference ECG signal set by setting the third ECG signal added to the verified ECG signal set to be an additional second ECG signal, based on the reference ECG signal set and the verified ECG signal set.