Automated Atrium-Hisian Interval Detection for AVNRT Diagnosis
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Solution Overview
Problem
Current methods for evaluating Atrio-Ventricular conduction in the heart are time-consuming and prone to inaccurate measurement of Atrium-Hision (A-H) intervals, making it difficult to detect A-H jumps, which are crucial for diagnosing conditions like Atrial-Ventricular Nodal Reentry Tachycardia (AVNRT).
Innovation Solution
An automated method and device that compute A-H intervals from sensed signal data during atrial stimulation, determining differences between consecutive intervals, and generating alerts for A-H jumps based on predefined thresholds, thereby reducing manual effort and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement of A-H intervals using horizontal calipers is performed, then the measurement process can be carried out, but it is time-consuming and leads to inaccurate measurement
Solution Approach 1:
The patent replaces the manual mechanical measurement method (using horizontal calipers on waveforms) with an automated computer-based system that processes electrogram signals digitally. The system automatically detects atrial and ventricular activation times from the signals and computes A-H intervals, eliminating the need for manual caliper placement and measurement by a physician.
2Reliability
If iterative stimulation events are performed to detect A-H jump, then the detection can be completed, but it is cumbersome and time-consuming
Solution Approach 1:
The system automatically compares A-H intervals from consecutive stimulation events and identifies A-H jumps when the difference exceeds a predefined threshold (e.g., 50 ms). This automated feedback mechanism eliminates the need for iterative manual stimulation events and comparisons, providing reliable A-H jump detection while significantly reducing the time and effort required.
3Measurement precision
If automated computation of A-H intervals is implemented, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single platform: it records electrogram signals, automatically detects atrial and ventricular activation times, computes A-H intervals, compares consecutive intervals to detect A-H jumps, and provides alerts. This multi-functional integration achieves high measurement accuracy while managing device complexity through unified signal processing and analysis capabilities.
Data Source
AI summary
Atrial-Ventricular (A-V) condition in a heart is evaluated. Signal data sensed from the heart during an atrial stimulation of the heart is received. An Atrium-Hision (A-H) interval corresponding to an extra-stimulus event during the atrial stimulation of the heart is computed using the sensed signal data. Furthermore, a difference between the A-H interval corresponding to the extra-stimulus event and an A-H interval corresponding to a preceding extra-stimulus event is determined. Moreover, a presence of an A-H jump is automatically determined based on the determined difference.