Electroanatomic Beat Template Matching for Real-Time Arrhythmia Mapping
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Solution Overview
Problem
Current systems for cardiac rhythm mapping struggle to accurately detect and map real-time rhythm changes, often leading to incomplete or imprecise geometric and electrical maps due to the inability to automatically and accurately match beats to predefined templates, especially in cases of continuous and discontinuous arrhythmias.
Innovation Solution
An apparatus and method utilizing a processor and memory to receive signals from a transducer and localization system, determine a beat template, compare it with real-time signals, and detect beat timing using a beat detection algorithm to integrate this information into a comprehensive electroanatomic map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual rhythm selection is used at the start of the procedure, then the geometric map can be aligned with the chosen rhythm, but the system cannot automatically adapt to multiple rhythm changes during the procedure
Solution Approach 1:
The system continuously monitors cardiac signals and uses feedback loops to detect rhythm changes in real-time. The beat detection algorithm analyzes signal characteristics and provides feedback to update the geometric map dynamically, ensuring alignment with current rhythm despite changes during the procedure
Solution Approach 2:
The system transitions from static manual rhythm selection to dynamic automatic adaptation. The geometric map is continuously updated based on real-time beat detection, allowing the system to adapt to rhythm changes during the procedure rather than being fixed to an initial rhythm selection
2Productivity
If detection algorithms are used to extract relevant segments, then real-time signal processing is enabled, but the algorithms lack the capability to automatically and accurately detect beats and match them to predefined templates
Solution Approach 1:
The system pre-establishes templates for normal and abnormal beats before the procedure begins. During real-time processing, the beat detection algorithm compares detected segments against these pre-defined templates, enabling accurate automatic beat identification without requiring complex real-time decision-making
Solution Approach 2:
The system creates digital copies (templates) of characteristic beat patterns from reference data. These templates are stored and used for comparison during real-time signal analysis, allowing the system to automatically identify and classify beats based on their similarity to known patterns rather than requiring complex analysis algorithms
3Adaptability or versatility
If current detection methods are used, then basic signal monitoring is possible, but the system fails to handle continuous and discontinuous arrhythmias effectively
Solution Approach 1:
The system divides the cardiac signal into discrete beat segments and classifies each segment as normal or abnormal based on template matching. This segmentation approach allows the system to handle complex arrhythmias by processing individual beats independently, maintaining mapping precision even during continuous or discontinuous arrhythmic patterns
Data Source
AI summary
An apparatus and method for automatic beat detection during electro anatomical mapping. The apparatus includes at least a catheter comprising at least a transducer, at least a localization system, at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive the at least a potential signal from the at least a transducer and the at least a position signal from the at least a localization system, determine, using a beat detection algorithm, at least a beat template as a function of the at least a potential signal, compare the at least a beat template with the at least a potential signal over time, and detect beat timing as a function of the comparison of the at least a beat template and the at least a potential signal.