Cardiac Rhythm Discrimination Using Multi-Electrode Signal Segmentation
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Solution Overview
Problem
Current cardiac pacemakers and implantable cardioverter-defibrillators face challenges in accurately distinguishing between supraventricular tachycardia (SVT) and ventricular tachycardia (VT), leading to potential inappropriate delivery of electrical stimulation therapy, which can be uncomfortable for patients and deplete device power, and may induce more dangerous arrhythmias.
Innovation Solution
The method involves sensing cardiac signals using multiple electrode pairs with different electrode distances, applying comparison algorithms to determine if the signals are indicative of SVT or VT, and assigning a heartbeat-specific indicator to determine the appropriate therapy, thereby accurately classifying heartbeats as either SVT or VT.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electrical stimulation therapy is delivered based on rhythm classification, then treatable arrhythmias can be corrected, but misclassification leads to unnecessary therapy delivery that depletes power and may induce dangerous arrhythmias
Solution Approach 1:
The patent segments the classification process into multiple independent analysis channels (morphology comparison, rate analysis, regularity assessment) that evaluate different characteristics of the cardiac rhythm. This segmentation allows the device to cross-validate findings across multiple dimensions before committing to therapy delivery, reducing false classifications and unnecessary power consumption.
Solution Approach 2:
The patent implements feedback mechanisms where the results from each analysis channel inform the others. For example, morphology comparison results feed into rate analysis parameters, and regularity assessment feedback adjusts the threshold for therapy delivery. This multi-layered feedback system increases classification reliability before triggering therapy, preventing unnecessary power consumption.
2Measurement precision
If multiple analysis parameters are used to improve classification accuracy, then rhythm discrimination improves, but device complexity increases
Solution Approach 1:
The complex classification task is segmented into separate analysis modules: morphology comparison module, rate analysis module, and regularity assessment module. Each module handles a specific aspect of rhythm analysis independently, making the overall complex system manageable and maintainable while achieving high discrimination precision through the combination of multiple specialized analyses.
Solution Approach 2:
The patent changes parameters dynamically based on the detected rhythm characteristics. For example, analysis thresholds and weighting factors are adjusted according to the heart rate and rhythm pattern being analyzed. This allows the device to maintain high precision across different arrhythmia types without requiring a uniformly complex algorithm for all scenarios.
3Loss of energy
If therapy delivery is withheld to conserve power, then energy is preserved, but necessary treatment may be denied to patients with treatable arrhythmias
Solution Approach 1:
Multiple feedback loops continuously monitor rhythm parameters and adjust therapy indication in real-time. The system feedback from morphology comparison, rate analysis, and regularity assessment converges to provide high-confidence therapy indications only when all parameters consistently indicate treatable arrhythmia, ensuring reliable therapy delivery while avoiding unnecessary power consumption from false positives.
Solution Approach 2:
The patent performs preliminary analysis of multiple rhythm parameters before committing to therapy delivery. By预先 (in advance) evaluating morphology, rate, and regularity characteristics, the system ensures that therapy is indicated only when all preliminary checks confirm treatable arrhythmia, balancing power conservation with reliable treatment indication.
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AI summary
A method (1000-1002) for automatically discriminating between a supraventricular tachycardia event and a ventricular tachycardia event is provided. The method includes sensing a first cardiac signal (100) using a first electrode pair (62, 56) and a second cardiac signal (200) using a second electrode pair (36, 38) during a heartbeat, applying a first algorithm to the first cardiac signal (100) to determine whether the first cardiac signal (100) is indicative for a supraventricular tachycardia or indicative for the ventricular tachycardia; applying a second algorithm to the second cardiac signal (200) to determine whether the second cardiac signal (200) is indicative for the supraventricular tachycardia or indicative for the ventricular tachycardia, the second comparison algorithm being different from the first comparison algorithm; and assigning to a heartbeat-specific indicator a first value (vt) indicative for the ventricular tachycardia when at least one of the first cardiac signal (100) and the second cardiac signal (200) have been determined to be indicative for the ventricular tachycardia. Furthermore, a medical device and a computer readable storage medium are provided.