Atrial Fibrillation Detection With Ventricular Pacing Adjustment
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Solution Overview
Problem
Current implantable medical devices (IMDs) face challenges in detecting atrial fibrillation (AF) due to the interference of ventricular pacing, leading to under-detection, especially when ventricular rates fall below the detection cutoff, and conventional AF detection algorithms are not suitable for single-chamber IMDs that deliver pacing therapy.
Innovation Solution
A computer-implemented method and system that analyze far-field cardiac activity signals to identify paced events, calculate pacing incidence scores, and adjust AF detection parameters to improve the detection of atrial fibrillation by accounting for ventricular pacing incidents, thereby enhancing the accuracy of AF detection in the presence of pacing events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ventricular pacing is delivered by a single-chamber IMD, then ventricular rate control is improved, but AF detection accuracy deteriorates due to reduced R-R interval variability
Solution Approach 1:
The patent dynamically adjusts the AF detection algorithm based on the detected pacing mode and rate. When ventricular pacing is detected, the system switches from conventional R-R variability analysis to alternative detection methods that account for the suppressed variability, thereby maintaining AF detection accuracy despite the dynamic changes in cardiac rhythm control
Solution Approach 2:
The patent changes the detection parameters and criteria when ventricular pacing is present. Instead of using fixed thresholds for R-R interval variability, the system adapts the detection parameters to account for the reduced variability caused by pacing, enabling accurate AF detection under different physiological conditions
2Measurement precision
If conventional AF detection algorithms based on R-R interval variability are used, then AF detection is effective in natural rhythm, but detection fails when ventricular pacing suppresses R-R variability
Solution Approach 1:
The patent creates a universal AF detection system that can operate effectively in multiple cardiac rhythm conditions - both natural sinus rhythm and ventricular pacing modes. The detection algorithm automatically adapts its methodology based on the detected pacing state, making it versatile enough to handle different physiological conditions without requiring separate dedicated algorithms
3Reliability
If ventricular rate falls below detection cutoff, then pacing therapy is maintained, but AF under-detection occurs
Solution Approach 1:
The patent performs preliminary analysis of the cardiac rhythm characteristics and pacing incidence before finalizing the AF detection decision. By proactively identifying patterns consistent with AF in the presence of low-rate ventricular pacing, the system can detect AF episodes that would otherwise fall below conventional detection thresholds, ensuring timely therapy delivery
Data Source
AI summary
Methods and systems are provided for detecting arrhythmias in cardiac activity is provided. The method and systems are under control of one or more processors configured with specific executable instructions. The method and systems obtain a far field cardiac activity (CA) signal that includes a series of beats, the CA signal including paced events. The method and systems identify the paced events in the CA signals. The method and systems determine a score based on an amount of paced events and adjust at least one parameter of an atrial fibrillation (AF) detection process based on the score.