AV Delay Adjustment for Bundle Branch Conduction
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Solution Overview
Problem
Existing implantable cardiac stimulation devices face challenges in optimizing atrial-ventricular (AV) delay adjustments, particularly in managing bundle branch conduction disorders, which can lead to inefficient heart synchronization and reduced hemodynamic efficiency in patients with congestive heart failure.
Innovation Solution
A system and method for managing AV delay adjustments using electrodes located proximate to an atrial site and at least one of a left bundle branch (LBB) site or a HIS site, with an implantable medical device (IMD) that measures AV intervals, sets candidate AV delays based on bundle branch adjustment (BBA) values, and adjusts these values to optimize QRS characteristics, thereby improving pacing therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional AV delay settings are used in patients with bundle branch conduction disorders, then the device complexity remains low, but heart synchronization efficiency deteriorates and hemodynamic efficiency is reduced
Solution Approach 1:
The system automatically measures AV intervals, determines bundle branch conduction delays, calculates optimal BBA values, and adjusts AV delays without requiring manual programming by clinicians. The device self-configures the pacing therapy parameters based on real-time physiological measurements, eliminating complex manual setup while achieving optimized heart synchronization.
Solution Approach 2:
The system dynamically adjusts the AV delay parameter based on measured AV intervals and calculated BBA values. By changing the AV delay parameter in response to measured physiological parameters, the system optimizes heart synchronization efficiency without requiring complex device architecture, simply through intelligent parameter adaptation.
2Measurement precision
If manual AV delay optimization is performed, then measurement precision may be sufficient, but the ease of operation deteriorates due to complex programming requirements
Solution Approach 1:
The device automatically performs all AV delay optimization steps without clinician intervention. The system self-measures AV intervals, self-calculates BBA values, and self-adjusts pacing parameters, transforming a complex manual programming task into an automated self-service process that maintains measurement precision while dramatically improving ease of operation.
Solution Approach 2:
The system continuously measures AV intervals and uses this feedback to automatically adjust AV delay settings. The closed-loop feedback mechanism eliminates the need for manual programming by using real-time physiological data to self-optimize pacing parameters, maintaining accuracy while simplifying operation.
3Adaptability or versatility
If fixed AV delay settings are used, then device complexity remains low, but adaptability to individual patient conduction patterns deteriorates
Solution Approach 1:
The system changes the AV delay parameter based on individually measured AV intervals and patient-specific bundle branch conduction characteristics. By calculating unique BBA values for each patient based on their specific conduction delays, the system achieves high adaptability to individual variations without requiring complex device architecture, simply through dynamic parameter customization.
Solution Approach 2:
The system transitions from fixed AV delay settings to dynamic, patient-specific AV delay adjustment. By making the AV delay parameter variable and adaptable to individual conduction patterns through automated BBA calculation, the system achieves high versatility while managing complexity through algorithmic rather than structural solutions.
Data Source
AI summary
A system and method are provided for managing atrial-ventricular (AV) delay adjustments. An AV interval is measured that corresponds to an interval between an atrial paced (Ap) event or an atrial sensed (As) event and a sensed ventricular (Vs) event. A candidate AV delay is set based on the AV interval and a bundle branch adjustment (BBA) value. A QRS characteristic of interest (COI) is measured while utilizing the candidate AV delay in connection with delivering a pacing therapy. The BBA value is adjusted and the candidate AV delay is reset based on the BBA value as adjusted. A collection of QRS COIs and corresponding candidate AV delays are obtained and one of the candidate AV delays is selected as a BBA AV delay. The pacing therapy is managed, based on the BBA AV delay.