Segmented Battery Life Prediction for Implantable Medical Devices
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Solution Overview
Problem
Accurately predicting the battery life of implantable medical devices (IMDs) that deliver both open-loop and closed-loop therapy is challenging due to the patient-specific and unpredictable nature of closed-loop stimulation, leading to potential interruptions or unnecessary surgeries.
Innovation Solution
A system and method for estimating the longevity of an IMD's power source by determining separate life estimates for open-loop and closed-loop therapy portions, using therapy logic, detection logic, and a control device to provide a comprehensive operable life estimate based on past usage data and detected events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If closed-loop stimulation is used to provide patient-specific therapy, then therapy effectiveness is improved, but battery life prediction accuracy deteriorates due to unpredictable usage patterns
Solution Approach 1:
The patent segments the battery life prediction into two distinct components: an open-loop portion based on programmed stimulation parameters and a closed-loop portion based on detected patient-specific events. This segmentation allows each component to be calculated and displayed separately, providing transparent information about how much battery life is allocated to each therapy mode without requiring perfect prediction of future closed-loop usage.
Solution Approach 2:
The system performs preliminary calculation of the open-loop battery life portion using predetermined stimulation parameters before actual closed-loop therapy begins. This preliminary action establishes a baseline battery life estimate that can be updated as closed-loop therapy data becomes available, allowing the device to provide immediate battery life information without waiting for complete therapy patterns to emerge.
2Device complexity
If open-loop stimulation is used with predetermined schedule, then battery life prediction is simplified, but therapy adaptability to patient-specific events deteriorates
Solution Approach 1:
The patent divides the overall battery life into separate open-loop and closed-loop portions, calculating each using different methods appropriate to its characteristics. The open-loop portion uses simple predetermined parameters while the closed-loop portion uses detected patient events, allowing the system to maintain simplicity where possible while adapting to patient needs where required.
Solution Approach 2:
The display system serves multiple functions: it shows total battery life, breaks down open-loop versus closed-loop portions, and provides information for both simple scheduled therapy and complex patient-specific therapy. This multi-functionality allows the same interface to support both open-loop and closed-loop therapy modes without requiring separate prediction systems.
3Ease of manufacture
If total battery life is underestimated, then surgery is avoided, but therapy interruption risk increases
Solution Approach 1:
The system performs preliminary calculation of battery life based on open-loop parameters before closed-loop therapy consumes significant power. This early estimation provides a conservative baseline that can be used for surgical planning and battery replacement scheduling, reducing the risk of both premature replacement and unexpected depletion.
Solution Approach 2:
The system continuously monitors actual closed-loop therapy usage and updates the closed-loop portion of the battery life estimate accordingly. This feedback mechanism allows the prediction to become more accurate over time as actual usage patterns are observed, enabling better long-term planning while maintaining therapy continuity.
Data Source
AI summary
A system and method for estimating the longevity of an implantable medical device (IMD). In one embodiment of a method for estimating a life of a power source of an implantable medical device, a first life estimate of the power source is determined based on a first open-loop value corresponding to an open-loop parameter for open-loop therapy delivery, a first closed loop value corresponding to a closed-loop parameter for closed-loop therapy delivery, and prior usage data corresponding to prior therapy delivery. The first life estimate of the power source is displayed. The first life estimate displayed includes a first open-loop portion associated with open-loop therapy delivery and a first closed-loop portion associated with closed-loop therapy delivery.