Cardiac Pacing Capture Analysis via EGM Morphology Classification
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Solution Overview
Problem
Current implantable medical devices (IMDs) lack the capability to effectively determine cardiac pacing capture effectiveness, particularly in conditions like atrial fibrillation and cardiac resynchronization therapy, due to limited data analysis and inability to identify complex capture interactions and conduction changes, which can lead to suboptimal therapy and increased risk of cardiac events.
Innovation Solution
The system includes a cardiac rhythm management system with sensing components and processors that extract higher-resolution data from IMDs to classify cardiac responses into specific classes, determine correlations, and generate therapy programming changes, enabling improved therapy for patients not responding to CRT and identifying cardiac conduction issues and patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IMDs use frequent physical and device sensor measurements for closed-loop therapy, then therapy delivery is improved, but data analysis capability and capture effectiveness determination are insufficient
Solution Approach 1:
The system implements feedback by continuously monitoring cardiac signals and using the measured data to adjust pacing therapy in real-time. The measured EGMs are analyzed to determine capture status, and this information feeds back to control the pacing delivery, creating a closed-loop system that optimizes therapy based on actual physiological response.
Solution Approach 2:
The patent introduces an intermediary analysis layer that processes the raw sensor data between data collection and therapy delivery. This intermediary component (the analysis system) extracts meaningful information from the frequent measurements to determine capture effectiveness, bridging the gap between data collection and therapeutic decision-making.
2Ease of operation
If IMDs provide basic device reports and counters, then device operation is simple, but capture effectiveness and complex conduction changes cannot be identified
Solution Approach 1:
The system segments the complex task of capture determination into distinct analytical components: measuring EGMs, analyzing morphology, determining capture status, and classifying conduction patterns. This segmentation allows the system to maintain operational simplicity while achieving precise measurement through systematic breakdown of the analysis process.
Solution Approach 2:
The patent adds another dimension of analysis by examining EGM morphology and temporal patterns beyond simple counting. This dimensional expansion from basic counters to waveform analysis enables precise capture determination while maintaining ease of operation through automated analysis algorithms.
3Reliability
If conventional monitoring systems are used, then patient monitoring is available, but noise from poorly attached electrodes and activity limitations occur
Solution Approach 1:
The implantable device performs self-service by continuously monitoring its own operational parameters and cardiac signals. The IMD uses its内置 sensors to measure EGMs and determine capture status without requiring external monitoring equipment, thereby eliminating noise issues associated with external electrodes and removing activity limitations.
Solution Approach 2:
The patent replaces the mechanical external monitoring system with an implantable electronic monitoring system. This substitution eliminates the need for skin-contact electrodes that generate noise and restrict patient movement, as the sensing occurs internally within the implanted device.
4Device complexity
If IMDs do not analyze complex capture interactions, then device complexity is reduced, but pacing therapy optimization is limited
Solution Approach 1:
The system implements dynamic analysis that adapts to varying capture scenarios. The analysis methodology dynamically adjusts to identify different capture patterns (100% capture, fusion, non-capture) and conduction changes based on the measured EGM characteristics, allowing the device to handle complexity only when needed while maintaining simplicity for routine operation.
Data Source
AI summary
A cardiac rhythm management system includes at least one sensing component configured to obtain a first physiological parameter signal, an indication of a cardiac response to a stimulation therapy, and temporal information corresponding to the first physiological parameter signal and the cardiac response; and at least one processor configured to: receive the first physiological parameter signal, the indication of the cardiac response, and the temporal information; and to classify the cardiac response into a first cardiac response class to generate a classified cardiac response. The at least one processor also is configured to determine a correlation, based on the temporal information, between the first physiological parameter signal and the classified cardiac response.