Compressed Threshold Mapping for Precise Neural Activation Volume
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Solution Overview
Problem
Existing electrical stimulation systems lack precise methods for estimating the volume of activation around implanted leads, particularly for deep brain stimulation, which can lead to non-specific tissue stimulation and potential side effects.
Innovation Solution
A system and method for estimating the volume of activation using a compressed database of threshold values, incorporating a processor and display to determine and visualize the activation volume based on stimulation parameters and electrode selections, with segmented electrodes for precise current steering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional electrical stimulation systems are used without precise volume of activation estimation, then the system is simpler to implement, but the stimulation specificity is poor leading to non-specific tissue activation and side effects
Solution Approach 1:
The system pre-calculates and stores threshold values for activating neural elements at various spatial locations in a compressed database before actual stimulation. This preliminary computation of activation thresholds allows rapid estimation of volume of activation during clinical use without real-time complex simulations, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The invention creates a computational model that copies and simulates the electrical stimulation field and neural activation patterns in silico. This virtual copy allows accurate prediction of volume of activation without requiring physical experimentation or complex real-time measurements, improving measurement precision while maintaining manageable system complexity
2Measurement precision
If segmented electrodes are used for current steering to achieve precise targeting, then the stimulation specificity is improved, but the device complexity increases
Solution Approach 1:
The lead incorporates segmented electrodes that can be independently controlled to deliver current through different electrode segments. This segmentation enables directional current steering to target specific neural structures while avoiding adjacent tissues, achieving precise stimulation targeting. The segmented design allows flexible current distribution patterns without requiring complex external control systems
Solution Approach 2:
Different electrode segments are activated selectively based on the desired stimulation direction and target location. Each segment can be independently controlled to create localized current fields with specific spatial characteristics. This local control of electrode activation achieves precise targeting while the system manages complexity through selective activation rather than requiring all segments to be simultaneously controlled
3Measurement precision
If a comprehensive database of threshold values is used to improve volume of activation estimation accuracy, then the measurement precision is improved, but the data storage requirements and processing complexity increase
Solution Approach 1:
The database stores threshold values parameterized by spatial coordinates, electrode configuration, and stimulation parameters rather than storing complete activation maps for every possible condition. By parameterizing the data and using interpolation between stored values, the system achieves accurate volume of activation estimation with reduced database size and processing requirements
Solution Approach 2:
The system stores threshold values for a discrete set of spatial locations and stimulation parameters that are sufficient for clinical accuracy requirements. Rather than storing complete continuous fields for all possible conditions, the system uses strategically sampled points with interpolation, achieving adequate measurement precision with reduced data storage and processing complexity
Data Source
AI summary
A system for estimating a volume of activation around an implanted electrical stimulation lead for a set of stimulation parameters includes a display; and a processor coupled to the display and configured to: receive a set of stimulation parameters including a stimulation amplitude and a selection of one of more electrodes of the implanted electrical stimulation lead for delivery of the stimulation amplitude; determine an estimate of the volume of activation based on the set of stimulation parameters using the stimulation amplitude and a database including a plurality of planar distributions of stimulation threshold values and a map relating the planar distributions to spatial locations based on the one or more electrodes of the implanted electrical stimulation lead selected for delivery of the stimulation amplitude; and output on the display a graphical representation of the estimate of the volume of activation.