Implantable Medical Device Battery Longevity Management
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Solution Overview
Problem
Implantable medical devices (IMDs) experience varying battery longevity due to clinical use conditions and parameter settings, leading to sub-optimal performance that is often unexpected and undesirable for healthcare professionals.
Innovation Solution
A system and method that calculates total IMD battery longevity, identifies parameters affecting it, and allows adjustments to improve longevity, displayed through a user interface for physicians to navigate and modify settings to optimize battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IMD parameters are set to provide optimal therapy, then treatment effectiveness is improved, but battery longevity deteriorates
Solution Approach 1:
The system dynamically adjusts IMD parameters based on real-time battery status and usage patterns. The external device communicates with the IMD to modify pacing amplitude, pulse width, and other parameters adaptively, allowing optimal therapy during high battery capacity and parameter adjustment for battery conservation as capacity decreases.
Solution Approach 2:
The system changes operational parameters of the IMD to optimize the balance between therapy effectiveness and battery consumption. By modifying parameters such as pacing voltage, pulse duration, and stimulation patterns, the system achieves effective treatment while extending battery life based on actual usage conditions.
2Duration of action of stationary object
If battery longevity is extended through parameter adjustments, then device lifetime is improved, but therapy optimization capability deteriorates
Solution Approach 1:
The system implements feedback loops where the external device continuously monitors IMD performance, battery status, and patient response. Based on this feedback, the system automatically adjusts parameters to maintain effective therapy while extending battery life, removing the need for manual physician intervention for optimal settings.
Solution Approach 2:
The IMD and external device work together to automatically optimize therapy parameters without requiring continuous manual intervention. The system self-adjusts based on embedded algorithms that balance therapy effectiveness with battery conservation, enabling the device to serve itself in maintaining optimal performance.
3Duration of action of stationary object
If physicians manually adjust parameters to extend battery life, then longevity is improved, but time and expertise requirements increase
Solution Approach 1:
The system automatically performs parameter optimization and battery management functions that would otherwise require physician intervention. Through embedded algorithms and automated communication between the IMD and external device, the system extends battery life without requiring additional physician time or specialized expertise in parameter tuning.
Solution Approach 2:
Automated feedback mechanisms monitor battery status and therapy effectiveness continuously, enabling the system to make real-time parameter adjustments without physician involvement. This eliminates the need for manual parameter optimization while maintaining both effective therapy and extended battery longevity.
Data Source
AI summary
A method for managing battery longevity of an implantable medical device (“IMD”) battery includes calculating a total IMD battery longevity value for an IMD and determining whether the total IMD battery longevity is below an optimal battery longevity value. At least one IMD parameter to be modified to improve the total IMD battery longevity value is automatically identified. The at least one automatically identified IMD parameter is adjusted to improve the total IMD battery longevity. Additionally, the improved total IMD battery longevity is displayed.


