Implantable Medical Lead Failure Detection and Electrode Localization
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Solution Overview
Problem
Current systems for implantable medical devices (IMDs) fail to accurately detect lead failures in IMDs, specifically identifying which electrode is faulty and do not provide robust solutions to mitigate these failures, leading to potential misclassification of cardiac rhythms and unnecessary therapy applications.
Innovation Solution
The method involves sensing cardiac signals over different combinations of electrodes to identify potential failures by comparing signals between various electrode combinations, using a channel selection module to control which electrodes are included in each sensing channel, and a failure detection module to determine if a signal represents a lead failure, thereby identifying the specific electrode associated with the failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lead failure detection systems use parameters such as R to R intervals, high impedance, impedance trends and slew rate, then lead failure can be detected, but the system cannot identify which individual electrode is associated with the failure
Solution Approach 1:
The patent segments the lead into individual electrodes and assigns unique identifiers to each. By dividing the detection system into electrode-specific channels and using separate impedance measurement paths for each electrode, the system can isolate and identify which specific electrode is failing rather than just detecting that a failure occurred somewhere in the lead.
Solution Approach 2:
The patent introduces an intermediary processing system that receives signals from multiple electrodes and uses correlation analysis to determine which electrode is failing. The processor acts as a mediator that compares impedance trends and signal characteristics across different electrodes to identify the specific failed electrode, providing location information without requiring direct physical inspection.
2Productivity
If the system continues to use a failed lead for sensing, then device operation is maintained, but misclassification of cardiac rhythms occurs and unnecessary therapy is applied
Solution Approach 1:
The patent performs preliminary detection of lead failure using impedance measurements and signal analysis before the failure affects cardiac rhythm classification. By continuously monitoring impedance trends and comparing them against baseline values, the system identifies failing electrodes in advance and can switch to alternative electrodes or alert the user before erroneous therapy is delivered.
Solution Approach 2:
The patent implements a feedback mechanism where the processor continuously monitors signal quality and impedance characteristics from each electrode. When degradation patterns indicate lead failure, the system provides feedback to switch to alternative sensing electrodes or to alert the user, thereby maintaining operational reliability while preventing misclassification of cardiac rhythms.
3Loss of time
If early detection of lead failure is implemented, then electrode failure location can be identified and therapy can be adjusted, but the system complexity increases
Solution Approach 1:
The patent makes the existing impedance measurement system multi-functional by using it for both routine device operation monitoring and lead failure detection. The same hardware components that monitor device function are also used to measure impedance trends and identify failing electrodes, eliminating the need for separate dedicated failure detection hardware and reducing overall system complexity.
Solution Approach 2:
The patent detects lead failure by monitoring changes in electrical parameters (impedance, signal amplitude, frequency) over time. By tracking parameter trends rather than requiring complex analysis systems, the patent achieves early detection with minimal added complexity. The processor analyzes parameter changes against stored baseline values to identify failure patterns.
Data Source
AI summary
A method for detecting potential failures by an implantable medical lead is disclosed. The method includes sensing first, second and third signals between at least first and second combinations of electrodes, on the lead; determining whether at least one of the first, second and third signals is representative of a potential failure in the lead and identifies a failure and the electrode associated with the failure based on which of the first, second and third sensed signals is representative of the potential failure. Optionally, when the first and second sensed signals are both representative of the potential failure, the method further includes determining whether the first and second sensed signals are correlated with one another. When the first and second sensed signals are correlated, the method declares an electrode common to both of the first and second combinations to be associated with the failure.