Remote Interface for Implantable Cardiac Device Parameter Optimization
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Solution Overview
Problem
The iterative process of programming implantable cardiac rhythm management devices is delayed due to numerous variables impacting heart functionality, necessitating improved techniques for setting and optimizing therapy control parameter sets.
Innovation Solution
A remote external interface system that communicates with an implantable cardiac function management device via a network, analyzing physiologic data to select and adjust therapy control parameter sets using algorithms like gradient search, evolution algorithms, and simulated annealing, allowing for real-time programming and optimization of parameter sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative programming process is used to optimize implantable device parameters, then therapy effectiveness is improved, but time to find optimal parameters is excessive
Solution Approach 1:
The system performs preliminary actions by automatically collecting and analyzing physiological data continuously between follow-up visits, preparing optimization recommendations in advance so that optimal parameters can be implemented immediately during the visit, eliminating the iterative delay
Solution Approach 2:
The system implements continuous feedback by monitoring physiological data from the implantable device and patient responses, using this information to automatically adjust and optimize therapy parameters remotely, thereby reducing the time needed to achieve effective therapy
2Manufacturing precision
If multiple parameters are adjusted to optimize heart functionality, then therapy precision is improved, but complexity of programming increases
Solution Approach 1:
The system enables self-service by allowing the implantable device and external system to automatically adjust multiple therapy parameters based on physiological data and pre-defined optimization algorithms, eliminating the need for complex manual programming by clinicians
Solution Approach 2:
The system manages parameter complexity by implementing structured parameter sets with defined relationships and constraints, allowing multiple parameters to be adjusted systematically through automated algorithms rather than manual configuration
3Productivity
If automated algorithms are used to select parameter sets, then productivity is improved, but device complexity increases
Solution Approach 1:
The system uses an intermediary external system that communicates with the implantable device via telemetry, performing complex algorithmic analysis externally and transmitting only simplified control parameters to the device, thereby achieving high productivity without increasing device complexity
Data Source
AI summary
A remote external interface for an implantable cardiac function management device is configured to be communicatively coupled to the implantable cardiac function management device via a network to a local external interface and via telemetry between the local external interface and the implantable cardiac function management device. The remote external interface includes a communication circuit and a processor circuit. The communication circuit is configured to communicate with the implantable cardiac function management device. The processor circuit is configured to perform an analysis of physiologic data received from the implantable cardiac function management device in response to operation of the implantable cardiac function management device using a plurality of therapy control parameter sets. The processor circuit can be further configured to select a particular therapy control parameter set using the analysis.