Brain Stimulation Programming via Network Model Visualization
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Solution Overview
Problem
Current medical device programming for electrical stimulation therapy is complex and time-consuming, particularly when dealing with multiple therapy programs and sophisticated electrode designs, often requiring burdensome adjustments of individual stimulation parameter values to achieve desired therapeutic outcomes.
Innovation Solution
A system that presents a graphical model of brain networks to users, allowing them to specify desired therapeutic effects, which are then used to determine optimal stimulation parameter values for implantable medical devices, reducing the complexity of parameter selection and improving therapy efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional medical device programming methods are used with multiple therapy programs and sophisticated electrode designs, then therapy efficacy can be improved, but the complexity of parameter selection and programming time increase significantly
Solution Approach 1:
The patent introduces a computer-assisted programming system that acts as an intermediary between the clinician and the complex stimulation parameters. The system includes a computer-readable medium with instructions that automatically calculate optimal parameter values based on electrode geometry, tissue properties, and therapeutic goals, eliminating the need for clinicians to manually navigate complex parameter spaces while maintaining therapy efficacy
Solution Approach 2:
The system transforms the programming approach by changing from manual parameter selection to automated parameter calculation. The computer system processes electrode design parameters, tissue electrical properties, and therapeutic objectives to generate optimized stimulation parameters, fundamentally altering how therapy programs are created and reducing programming complexity
2Reliability
If clinicians manually adjust individual stimulation parameter values to achieve desired therapeutic outcomes, then therapy can be optimized, but the programming process becomes time-consuming and burdensome
Solution Approach 1:
The system performs preliminary calculations of optimal stimulation parameters before the clinician begins programming. By pre-processing electrode geometry data, tissue properties, and therapeutic goals, the system generates initial parameter recommendations that reduce the iterative adjustment process, saving significant programming time while maintaining therapeutic optimization
Solution Approach 2:
The computer-assisted programming system enables self-service by automatically generating optimized parameter values without requiring extensive manual intervention. The system autonomously processes input data, calculates parameters, and presents recommendations to the clinician, dramatically reducing programming time while achieving desired therapeutic outcomes
Data Source
AI summary
A programming system allows a user to program therapy parameter values for therapy delivered by a medical device by specifying a desired therapeutic outcome. In an example, the programming system presents a model of a brain network associated with a patient condition to the user. The model may be a graphical representation of a network of anatomical structures of the brain associated with the patient condition and may indicate the functional relationship between the anatomical structures. Using the model, the user may define a desired therapeutic outcome associated with the condition, and adjust excitatory and/or inhibitory effects of the stimulation on the anatomical structures. The system may determine therapy parameter values for therapy delivered to the patient based on the user input.