Lead Integrity Data Storage for Cardiac Device Diagnostics
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Solution Overview
Problem
Medical leads used in cardiac applications often experience integrity issues such as fractures and connection disruptions due to continuous flexing and stress, making it challenging to identify and address lead integrity conditions, which can affect the accuracy of heart rhythm sensing and therapy delivery.
Innovation Solution
A medical device detects lead integrity conditions by monitoring high-rate non-sustained episodes and impedance thresholds, activating data storage to collect diagnostic data, and alerting users to potential issues, ensuring that critical data is preserved for analysis and facilitating timely evaluation and potential lead replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lead integrity monitoring is implemented, then reliability of sensing and therapy delivery is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary impedance measurements and monitors for high-rate non-sustained episodes before actual lead fracture occurs, enabling proactive detection and prevention of lead integrity failures
Solution Approach 2:
The system continuously monitors impedance values and episode characteristics, providing feedback signals that trigger alerts when threshold violations occur, enabling real-time lead integrity assessment
2Measurement precision
If data storage for high-rate non-sustained episodes is activated, then measurement precision of lead integrity conditions is improved, but loss of information increases due to data management complexity
Solution Approach 1:
The system pre-configures data storage parameters and activation criteria before lead integrity issues arise, ensuring that only relevant high-rate non-sustained episode data is captured and stored when needed
Solution Approach 2:
The system extracts and stores only the specific high-rate non-sustained episode data that is relevant to lead integrity assessment, filtering out unnecessary information to minimize data management burden
3Reliability
If continuous monitoring of lead integrity is performed, then reliability is improved, but use of energy increases
Solution Approach 1:
The system performs impedance measurements and episode monitoring at periodic intervals rather than continuously, reducing energy consumption while maintaining adequate lead integrity surveillance
Solution Approach 2:
The system automatically detects and responds to lead integrity conditions without requiring continuous external power or intervention, using its own sensed data to trigger appropriate responses
Data Source
AI summary
In general, the disclosure describes techniques for storing data corresponding to sensed high-rate non-sustained episodes that occur close in time to detection of a lead integrity condition. A method comprises detecting a first high-rate non-sustained episode, activating a data storage operation for storing data associated with high rate non-sustained episodes in response to detecting the first episode, and storing data associated with the first episode in an episode log in response to activating the data storage operation. Another method comprises detecting a lead integrity condition, and activating a data storage operation for storing data associated with high rate non-sustained episodes in response to detecting the condition.