BLE Parameter Selection Between External and Implantable Devices
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Solution Overview
Problem
Existing systems face challenges in accommodating a large number of mobile device configurations for effective bi-directional communication with implantable medical devices, particularly in optimizing Bluetooth Low Energy (BLE) parameters for diverse mobile devices.
Innovation Solution
A cloud-based communications management resource uses machine learning to identify and provide optimal parameter sets for Bluetooth Low Energy communication between external devices and implantable medical devices, adapting to various mobile device configurations through a closed-loop feedback system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If commercial BLE protocols are used to enable numerous mobile devices to communicate with IMDs, then ease of operation and device compatibility are improved, but device complexity increases due to the need to accommodate a large number of mobile device configurations and tune parameters for each device type
Solution Approach 1:
The system automatically identifies the mobile device configuration and selects appropriate BLE parameter values without requiring manual intervention. The IMD performs self-testing and self-configuration by autonomously determining device characteristics and selecting from pre-stored parameter sets, eliminating the need for manual parameter tuning for each device type.
Solution Approach 2:
The system stores multiple sets of BLE parameter values corresponding to different mobile device configurations. Based on identified device characteristics, the system dynamically selects and applies the appropriate parameter set, allowing adaptation to various devices without increasing operational complexity for users.
2Reliability
If manual parameter tuning is performed for each mobile device configuration, then communication reliability is improved, but loss of time increases due to the extensive setup and configuration process
Solution Approach 1:
Parameter sets for different mobile device configurations are pre-tested and pre-stored in the IMD before actual use. This preliminary configuration and testing phase allows the system to quickly deploy proven working parameters without requiring time-consuming manual tuning during clinical deployment.
Solution Approach 2:
The system incorporates a feedback mechanism where communication results are monitored and used to refine parameter selection. The IMD can identify successful communication patterns and adjust parameter selection based on feedback from actual device interactions, improving reliability over time without additional manual intervention.
3Adaptability or versatility
If software applications are updated to support new mobile device configurations, then adaptability is improved, but productivity decreases due to the need for frequent software updates and regulatory submissions
Solution Approach 1:
The system separates device configuration data from the core software application. Instead of updating the entire software application to support new devices, the system segments the solution into reusable parameter sets that can be independently added or modified. This allows rapid adaptation to new devices without triggering full software update cycles and regulatory submissions.
Solution Approach 2:
The IMD is designed with universal parameter storage capabilities that can accommodate multiple mobile device configurations through a common interface. A single software application can support multiple device types by selecting from stored parameter sets, eliminating the need for separate software versions for different devices and reducing update frequency.
Data Source
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AI summary
Systems and methods for managing bi-directional communication between an external device (ED) and an implantable medical device (IMD) are provided. The method comprises receiving an active ED configuration and a request for communications parameters to be used with the active ED configuration. The method further comprises identifying a pre-existing configuration, from a collection of pre-existing configurations that match the active ED configuration, the collection of pre-existing configurations having an associated collection of predefined parameter sets. The method further determines a resultant parameter set from the collection of predefined parameter sets based on the pre-existing configuration identified and returns the resultant parameter set in connection with the request, the resultant parameter set to be utilized by the ED for bi-directional communication with the IMD.