Medical Device Stimulation Parameter Control via Representative Value
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Solution Overview
Problem
Current medical devices require manual adjustments of stimulation parameters by patients or healthcare providers, which is time-consuming and prone to errors, and frequent interactions with programmers can reduce patient satisfaction and increase burden on both patients and clinicians.
Innovation Solution
A system with a 'learning' algorithm that automatically determines a representative value for stimulation parameters based on user inputs, averaging multiple titrations in specific posture states to provide consistent therapy without manual calibration, reducing the need for frequent adjustments and simplifying the setup process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustments of stimulation parameters are performed by patients or healthcare providers, then therapy can be customized to patient needs, but the process is time-consuming and prone to errors
Solution Approach 1:
The medical device automatically determines representative stimulation parameter values based on collected user inputs and posture state data, eliminating the need for manual parameter adjustments by patients or healthcare providers. The system self-calibrates by analyzing patterns in user feedback and environmental conditions, thereby reducing both the time required for adjustments and the potential for human error.
Solution Approach 2:
The system continuously collects user inputs regarding therapy effectiveness and combines this feedback with posture state information to dynamically adjust stimulation parameters. This closed-loop feedback mechanism enables the device to learn optimal parameter settings over time, improving accuracy while minimizing the need for manual intervention.
2Reliability
If frequent interactions with programmers are required for parameter adjustments, then therapy can be optimized, but patient satisfaction is reduced and burden on clinicians increases
Solution Approach 1:
The medical device autonomously optimizes therapy parameters by analyzing collected data from multiple sources including user inputs and posture state information. This self-optimizing capability eliminates the need for frequent clinician visits for programming adjustments, thereby maintaining high therapy reliability while significantly improving patient convenience and satisfaction.
Solution Approach 2:
The system performs preliminary data collection and analysis during routine operation to pre-determine optimal parameter settings before they are needed. By proactively preparing therapy configurations based on accumulated data, the device ensures therapy optimization is ready when needed without requiring immediate clinician intervention.
3Measurement precision
If multiple user inputs are collected for stimulation parameters, then more accurate representative values can be determined, but the complexity of the system increases
Solution Approach 1:
The system combines multiple user inputs with posture state data into a unified analysis framework. By merging these different data streams and processing them together through integrated algorithms, the device determines accurate representative parameter values while avoiding the complexity that would arise from handling separate data sources independently.
Data Source
AI summary
A system includes telemetry circuitry configured for communication between a medical device and an external device associated with the medical device and processing circuitry. The processing circuitry is configured to receive an indication of a plurality of user inputs, each user input of the plurality of user inputs indicating a respective value of a plurality of values for a stimulation parameter that at least partially defines therapy provided to the patient in a posture state of a plurality of posture states. The processing circuitry is further configured to determine a representative value for the stimulation parameter based on the plurality of values for the stimulation parameter that at least partially defines therapy provided to the patient in the posture state. The processing circuitry is further configured to control the medical device to provide the therapy according to the representative value.