Cardiac IMD Signal Quality Monitoring via Remote Counter Analysis
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Solution Overview
Problem
There is a need for new and alternative multivariable analysis methods to identify patterns indicating possible oversensing and/or loss of signal quality in implantable medical devices (IMDs) early in the warning system.
Innovation Solution
A system for remotely monitoring cardiac implantable medical devices (IMDs) that includes a communication circuit for wireless communication with the IMD, and a processor that analyzes remote monitoring session data from counters in the IMD to determine sensing quality, generating alerts for drops in signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sensing configuration methods are used with manual programming in clinic, then device reliability is maintained through physician control, but the system cannot detect and respond to sensing quality degradation over time
Solution Approach 1:
The system continuously monitors sensing quality parameters (signal amplitude, noise levels, saturation events) and provides feedback through alerts when degradation is detected. This closed-loop feedback mechanism enables the system to respond to changing sensing conditions over time, maintaining reliability without requiring continuous manual intervention.
Solution Approach 2:
The IMD performs self-diagnosis by automatically analyzing its own sensing signal quality using embedded algorithms that evaluate signal characteristics, detect noise patterns, and identify saturation events. This self-service capability allows the device to monitor its own health status and generate alerts when reconfiguration may be needed.
2Adaptability or versatility
If multiple sensing configurations are available, then adaptability is improved for different patient needs, but device complexity increases requiring more programming and management
Solution Approach 1:
Multiple sensing configurations are pre-programmed into the device during manufacturing or initial setup, eliminating the need for complex programming sessions. The system automatically selects from these pre-configured options based on real-time signal quality analysis, reducing the burden on physicians and simplifying device management.
Solution Approach 2:
The system dynamically switches between pre-configured sensing configurations based on real-time analysis of signal quality parameters. Rather than requiring manual reprogramming, the device adaptively selects the optimal configuration automatically, maintaining versatility while reducing programming complexity.
3Device complexity
If sensing configuration is fixed at implant, then device simplicity is maintained, but the system cannot adapt to lead displacement or degradation over time
Solution Approach 1:
The system performs periodic evaluation of sensing signal quality at predetermined intervals (e.g., daily, weekly, or monthly). This periodic monitoring detects gradual lead displacement or degradation that occurs over time, allowing for timely intervention while maintaining simple fixed configuration management. The periodic checks enable adaptation without requiring continuous complex control.
Data Source
AI summary
Systems, devices and methods for determining sensing quality changes and drops in an implantable medical device, remotely and/or within the device itself. A cardiac implantable medical device tracks, over time, a number of counters, the contents of which are communicated to a processor which may be part of a remote monitoring device or which may be a customer service center that receives data from remote monitoring devices and/or programmers. Counter data is analyzed to identify changes in sensing quality and/or to provide information useful for clinical investigations, system integrity checking, or device reprogramming.