Pacing Vector Selection via Expedited Threshold Search
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Solution Overview
Problem
Existing techniques for determining optimal pacing vectors in cardiac rhythm management devices are time-consuming and inefficient, particularly in identifying acceptable pacing vectors and minimizing phrenic nerve stimulation during threshold testing.
Innovation Solution
The implementation of a method that quickly and efficiently shortlists possible pacing vectors by performing expedited automatic threshold searches, categorizing electrodes based on myocardial and phrenic stimulation thresholds, and minimizing phrenic nerve stimulation through controlled pacing stimulus adjustments and vector prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional threshold testing methods are used to determine acceptable pacing vectors, then comprehensive evaluation of pacing vectors can be achieved, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent segments the threshold testing process into distinct phases: an initial expedited automatic threshold search that quickly identifies promising pacing vectors, followed by more comprehensive testing only on the shortlisted candidates. This segmentation allows the system to maintain measurement precision while significantly reducing overall testing time by avoiding exhaustive evaluation of all possible vectors.
Solution Approach 2:
The patent performs preliminary action by conducting an expedited automatic threshold search before the complete threshold test. This preliminary phase identifies and shortlists pacing vectors that are likely to be acceptable, allowing subsequent comprehensive testing to focus only on these pre-selected candidates rather than all possible vectors, thereby reducing total testing duration while maintaining accuracy.
2Reliability
If pacing threshold testing is performed to ensure effective heart capture, then phrenic nerve stimulation may occur causing patient discomfort, but reducing stimulus energy below threshold may compromise capture reliability
Solution Approach 1:
The patent substitutes direct mechanical/phrenic nerve stimulation with alternative detection methods. Instead of relying on patient sensation or direct phrenic nerve response, the system uses accelerometer sensors to detect diaphragm movement and impedance changes to infer phrenic stimulation. This substitution allows for more precise control and earlier detection, enabling the system to maintain heart capture reliability while minimizing harmful phrenic nerve stimulation.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring multiple parameters during threshold testing, including accelerometer data, impedance changes, and pacing response. This multi-parameter feedback allows the system to distinguish between effective heart capture and unwanted phrenic nerve stimulation, adjusting the pacing vector selection and energy levels accordingly to maintain capture reliability while avoiding harmful stimulation.
3Measurement precision
If exhaustive testing of all possible pacing vectors is performed, then the optimal vector can be identified, but the complexity and duration of the procedure increases significantly
Solution Approach 1:
The patent segments the vector evaluation process into two distinct stages: an expedited automatic threshold search that rapidly screens multiple vectors to create a shortlist of promising candidates, followed by more detailed comprehensive testing only on this reduced set. This segmentation maintains the ability to identify the optimal vector while significantly reducing procedural complexity by avoiding exhaustive testing of all possible vectors.
Solution Approach 2:
The patent performs preliminary action by conducting the expedited automatic threshold search before the comprehensive threshold test. This preliminary screening phase identifies and shortlists the most promising pacing vectors based on initial performance metrics, allowing the subsequent comprehensive testing to focus only on these pre-selected candidates. This approach maintains optimal vector identification accuracy while reducing overall procedure complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces the time spent searching for optimal pacing vectors, minimizes patient discomfort, and avoids unnecessary phrenic nerve stimulation, thereby enhancing the efficiency and effectiveness of cardiac pacing therapy.
Implementation Method 1
providing pacing electrostimulations to evoke responsive heart contractions
Implementation Method 2
detecting cardiac electrical activity
Data Source
AI summary
Various techniques are disclosed for quickly and efficiently determining cardiac pacing vectors that minimize phrenic nerve stimulation.


