Cardiac Rhythm Classification Using Multiple Independent Discriminators
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Solution Overview
Problem
Current implantable cardioverter/defibrillators face challenges in accurately classifying cardiac rhythms, which is crucial for delivering appropriate therapies, as they often rely on single discriminators that may produce conflicting or indeterminate results, leading to suboptimal treatment outcomes.
Innovation Solution
The system employs a method and device with multiple independent rhythm discriminators that classify cardiac rhythms based on rate, intervals, and morphology, with a classification processor that modifies the classification process to enhance accuracy by acquiring additional information or employing additional discriminators when initial results are conflicting or indeterminate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple independent rhythm discriminators are used to classify cardiac rhythms, then classification reliability is improved, but device complexity increases
Solution Approach 1:
The rhythm classification function is divided into multiple independent discriminators, each specializing in specific rhythm types (e.g., ventricular tachycardia discriminator, supraventricular tachycardia discriminator, fibrillation discriminator). This segmentation allows each discriminator to focus on particular aspects of rhythm analysis, improving overall classification reliability while maintaining manageable complexity through modular design
Solution Approach 2:
Multiple independent discriminator results are merged through a classification processor that integrates their outputs. The system combines the classifications from various discriminators to reach a final rhythm determination, leveraging the strengths of each discriminator while resolving conflicts through systematic integration
2Measurement precision
If additional information is acquired or additional discriminators are employed when initial results are conflicting, then classification accuracy is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary classification using multiple discriminators simultaneously on the initial rhythm data. By having all discriminators process the data in parallel from the outset, the system avoids sequential re-analysis and can quickly determine whether additional information is needed, reducing overall classification time while maintaining accuracy
Solution Approach 2:
The classification process is dynamic and adaptive. When discriminators produce conflicting or indeterminate results, the system automatically modifies the classification process by acquiring additional information or employing additional discriminators. This dynamic adjustment allows the system to invest more time only when necessary, optimizing the balance between accuracy and speed
Data Source
AI summary
Systems and methods are described for classifying a cardiac rhythm. A cardiac rhythm is classified using a classification process that includes a plurality of cardiac rhythm discriminators. Each rhythm discriminator provides an independent classification of the cardiac rhythm. The classification process is modified if the modification is likely to produce enhanced classification results. The rhythm is reclassified using the modified classification process.