Ectopic Beat Detection in Electro-Anatomical Mapping
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Solution Overview
Problem
Electro-anatomical mapping systems face errors due to abnormal atrial conduction in the heart, which is not effectively addressed by filtering out heartbeats based on RR interval alone, as ectopic beats with similar intervals can introduce noise and errors into the maps.
Innovation Solution
The system identifies and excludes intracardiac electrogram signals from heartbeats with abnormal P wave morphology, using a processor to detect P waves in ECG signals and generate maps that exclude ectopic beats, even when their RR intervals do not significantly differ from preceding heartbeats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If heartbeats are filtered out based on RR interval alone, then filtering process is simple, but ectopic beats with similar intervals cannot be detected causing noise and errors in maps
Solution Approach 1:
The system transitions from using only RR interval as a filtering parameter to incorporating P wave morphology parameters. By analyzing additional parameters (P wave shape characteristics) alongside or instead of RR interval, the system achieves better ectopic beat detection without significantly increasing complexity
Solution Approach 2:
P wave morphology serves as an intermediary indicator that indirectly reflects abnormal atrial conduction. Instead of directly measuring conduction abnormalities, the system uses P wave shape changes as a mediator to identify ectopic beats, enabling accurate detection through a simpler indirect measurement
2Quantity of substance
If all heartbeats are included in mapping to maximize data usage, then mapping coverage is complete, but ectopic beats introduce noise and errors into the maps
Solution Approach 1:
The system extracts and identifies ectopic beats from the heartbeat sequence using P wave morphology analysis, then separates them out for exclusion. This allows the majority of normal heartbeats to be included in mapping while removing only the problematic ectopic beats, maintaining both data quantity and reliability
Solution Approach 2:
The system continuously monitors P wave morphology in real-time during data acquisition, providing feedback to identify when ectopic beats occur. This feedback mechanism enables dynamic adjustment of which heartbeats to include, ensuring high-map accuracy while maximizing the use of valid heartbeat data
3Measurement precision
If P wave morphology analysis is used to identify ectopic beats, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
Instead of performing complete and complex ECG signal analysis, the system applies partial action by focusing only on specific P wave morphology features that are most indicative of ectopic beats. This selective analysis achieves sufficient detection accuracy with reduced processing complexity compared to comprehensive signal analysis
Data Source
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AI summary
Medical apparatus includes a probe configured for insertion into a chamber of a heart of a patient and including one or more intracardiac electrodes. Interface circuitry acquires intracardiac electrogram signals from the intracardiac electrodes and electrocardiogram (ECG) signals from body-surface electrodes that are fixed to a body surface of the patient. A processor detects, in each of the heartbeats in the sequence, a P wave in the acquired ECG signals and identifies one or more of the heartbeats in the sequence as ectopic beats responsively to a morphology of the detected P wave in the heartbeats. The processor extracts electrophysiological parameters from the intracardiac electrogram signals acquired during the sequence of the heartbeats and generates a map of the extracted electrophysiological parameters while excluding from the map the intracardiac electrogram signals that were received during the ectopic beats.