Implanted Lead Analysis System Using Segmented Noise Detection
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Solution Overview
Problem
Implanted medical device leads experience wear and tear, leading to inaccurate sensing and treatment issues, necessitating accurate identification of problematic leads while minimizing false positives.
Innovation Solution
An external device with a communication, processing, and notification module retrieves patient data from implanted medical devices, applies episode selection and noise detection criteria to identify episodes of interest, and generates alerts for potential lead issues through rapid sensing, impedance threshold, and impedance spike analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lead monitoring methods are used, then lead functionality is monitored, but false positive identification of problematic leads increases
Solution Approach 1:
The lead analysis is divided into multiple independent criteria: impedance threshold analysis, impedance spike analysis, and rapid sensing analysis. Each criterion evaluates different aspects of lead functionality separately, allowing the system to identify problematic leads more accurately by requiring multiple criteria to be met, thereby reducing false positives while maintaining monitoring coverage.
2Measurement precision
If comprehensive lead analysis is performed, then lead-related conditions are accurately identified, but system complexity increases
Solution Approach 1:
The complex lead analysis is segmented into three distinct analytical modules (impedance threshold, impedance spike, rapid sensing), each handling a specific aspect of lead monitoring. This segmentation allows the system to maintain high detection accuracy through comprehensive analysis while managing complexity by organizing functions into separate, well-defined components with clear interfaces.
Solution Approach 2:
The external device serves as an intermediary between the implantable medical device and the analysis system. It retrieves patient data from the IMD, performs comprehensive lead analysis using multiple criteria, and generates alerts when lead-related conditions are detected. This intermediary approach enables sophisticated analysis without increasing the complexity of the implanted device itself.
3Reliability
If multiple analysis criteria are applied, then false positives are reduced, but data processing time increases
Solution Approach 1:
The system performs preliminary filtering by applying episode selection criteria to identify only relevant episodes of interest before conducting the full three-criteria lead analysis. This preliminary action reduces the volume of data requiring comprehensive analysis, allowing the system to maintain high reliability through multiple analysis criteria while minimizing data processing time by focusing resources on relevant cases only.
Data Source
AI summary
The technology disclosed herein relates to a method for lead analysis for an implanted medical device. A summary data record is retrieved associated with one or more episodes from an implanted medical device through a communication module. Episode selection criteria are applied to the summary data record by a processing module. One or more episode data records are retrieved from the implanted medical device for one or more episodes for which the episode selection criteria was satisfied. Noise detection criteria are applied to the episode data record. A notification module is configured to generate an alert if the noise detection criteria are satisfied.