Dynamic Atrial Tachyarrhythmia Detection Threshold Adjustment
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Solution Overview
Problem
Current implantable cardiac devices face challenges in accurately detecting atrial tachyarrhythmia episodes due to variations in cardiac electrical signals, leading to potential misclassification and inadequate adjustment of detection thresholds.
Innovation Solution
An implantable medical device that analyzes cardiac electrical signals over multiple time periods, classifies them based on RR-intervals, and automatically adjusts the detection threshold for atrial tachyarrhythmia, allowing for dynamic detection and classification of atrial fibrillation episodes without requiring atrial signal sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed detection threshold is used for atrial tachyarrhythmia detection, then the device operation is simple, but the detection accuracy deteriorates due to signal variations
Solution Approach 1:
The patent implements dynamic threshold adjustment by automatically modifying the detection threshold based on the analyzed cardiac electrical signal characteristics. The processor dynamically adapts the threshold value to account for variations in cardiac signals, thereby maintaining high detection accuracy without requiring manual intervention or fixed thresholds.
Solution Approach 2:
The system changes the detection threshold parameter automatically based on signal analysis. By monitoring characteristics of the cardiac electrical signals and adjusting the threshold parameter accordingly, the system resolves the contradiction between operational simplicity and detection accuracy.
2Reliability
If the detection threshold is lowered to improve sensitivity, then more atrial tachyarrhythmia episodes are detected, but false positives increase
Solution Approach 1:
The system employs feedback mechanisms where the processor continuously analyzes cardiac electrical signals and uses this information to adjust detection parameters. This feedback loop allows the system to distinguish between true atrial tachyarrhythmia episodes and false positives, maintaining high sensitivity while reducing erroneous detections through adaptive parameter modification.
3Measurement precision
If manual threshold adjustment is implemented to improve accuracy, then detection precision improves, but device complexity increases
Solution Approach 1:
The device performs self-adjustment of detection thresholds through automatic analysis of cardiac electrical signals. The processor independently determines appropriate threshold values without requiring manual intervention, thereby achieving high detection precision while maintaining operational simplicity and avoiding the complexity of manual adjustment mechanisms.
Data Source
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AI summary
A system for detecting an atrial tachyarrhythmia episode includes a medical device having sensing circuitry configured to receive a cardiac electrical signal from electrodes coupled to the medical device and a processor configured to detect an atrial tachyarrhythmia episode in response to a time duration of the cardiac electrical signal classified as an atrial tachyarrhythmia being greater than or equal to a first detection threshold. The processor is configured to determine if detection threshold adjustment criteria are met based on at least the detected first atrial tachyarrhythmia episode and adjust the first detection threshold to a second detection threshold different than the first detection threshold in response to the detection threshold adjustment criteria being met.