ECG Readability Assessment Using Segmented Signal Quality Modules
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Solution Overview
Problem
Wearable electrocardiogram devices often produce noisy signals due to user inexperience, making it difficult to determine if the signal is readable for accurate diagnosis.
Innovation Solution
A method using a computing device with multiple signal assessment modules to evaluate the quality of electrocardiogram signals, distinguishing readable and unreadable sub-intervals, and determining if the signal is suitable for disease diagnosis by identifying overlapping intervals that meet a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable electrocardiogram devices are used for measurement, then measurement convenience is improved, but noise generation probability increases due to user inexperience
Solution Approach 1:
The patent divides the electrocardiogram signal into multiple sub-intervals and assesses each sub-interval separately using different signal assessment modules. This segmentation allows the system to identify readable portions even when other portions contain noise, resolving the contradiction by maintaining measurement convenience while mitigating noise impact through selective analysis of signal segments.
Solution Approach 2:
The patent changes the assessment parameters by using multiple different signal assessment modules with varying thresholds and criteria. Each module evaluates the signal quality with different parameters, allowing the system to adapt to varying noise conditions and identify readable intervals that might be missed by a single fixed-threshold approach.
2Measurement precision
If multiple signal assessment modules are used to evaluate signal quality, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the signal assessment task into multiple independent modules, each responsible for evaluating specific aspects of signal quality. This modular approach improves measurement precision through comprehensive evaluation while managing complexity by organizing the assessment process into separable, manageable components that can be independently implemented and optimized.
Solution Approach 2:
The patent merges the results from multiple signal assessment modules to produce a final determination of signal readability. By combining the strengths of different assessment approaches and integrating their outputs, the system achieves high measurement precision while avoiding the complexity of a single overly complicated assessment algorithm.
3Productivity
If the entire electrocardiogram interval is assessed as readable or unreadable, then processing speed is improved, but diagnostic accuracy deteriorates due to noise contamination
Solution Approach 1:
The patent segments the electrocardiogram signal into multiple sub-intervals and assesses each segment independently. This allows the system to quickly identify and isolate readable portions of the signal without having to perform complex analysis on the entire signal, thereby maintaining processing speed while improving diagnostic accuracy by focusing analysis on quality segments.
Solution Approach 2:
The patent extracts and identifies readable sub-intervals from the overall electrocardiogram signal, separating the diagnostically useful portions from noisy segments. This extraction approach enables rapid processing by focusing only on valid signal portions while maintaining high diagnostic accuracy by excluding contaminated segments from analysis.
Data Source
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AI summary
The present disclosure relates to a method for determining whether an electrocardiogram signal is readable, and more particularly, to a method for separating a diagnosable sub-interval from all intervals of an electrocardiogram signal by using a plurality of signal evaluation modules.