Fractal Electrode Geometry for Neural Stimulation Power Reduction
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Solution Overview
Problem
Conventional neural stimulation electrodes are limited in efficiency, requiring high power levels and frequent battery replacements, which can be costly and risky, and they lack optimal anatomical targeting and geometric designs to enhance neural activation.
Innovation Solution
The development of fractal-shaped electrodes with irregular perimeters and self-similar hole configurations that increase the neural activation function by maximizing current density variations, reducing power requirements and extending battery life, while maintaining or improving neural activation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional planar electrodes are used for neural stimulation, then the electrode structure is simple and easy to manufacture, but the neural activation efficiency is low and high power levels are required
Solution Approach 1:
The electrode surface is segmented into multiple fractal patterns with self-similar structures at different scales. This segmentation creates multiple current density peaks that distribute stimulation more effectively across neural tissue, reducing the total power required while maintaining activation efficiency.
Solution Approach 2:
The electrode design transitions from conventional two-dimensional planar geometries to fractal patterns that exhibit self-similarity across multiple scales. This dimensional transformation increases the effective surface area and current density variation without proportionally increasing the overall electrode footprint, thereby reducing power consumption.
2Device complexity
If conventional planar electrodes are used, then the device complexity is low, but frequent battery replacements are required due to high power consumption
Solution Approach 1:
The fractal pattern segments the electrode surface into self-similar structures that create multiple localized current density peaks. This segmentation allows more efficient utilization of electrical energy, extending battery life while the manufacturing process remains relatively straightforward using standard photolithography and etching techniques.
Solution Approach 2:
The electrode geometry parameters are transformed into fractal patterns with specific self-similarity ratios and scaling factors. These parameter changes optimize the current density distribution to extend battery life, while the manufacturing complexity remains manageable through established semiconductor fabrication processes.
3Ease of manufacture
If conventional planar electrodes are used, then the manufacturing process is simple, but optimal anatomical targeting and geometric designs to enhance neural activation are lacking
Solution Approach 1:
The fractal electrode pattern creates local variations in current density through its self-similar structure, with different regions of the electrode surface producing different stimulation intensities. This local quality variation enables precise anatomical targeting of specific neural structures while maintaining manufacturability through standard fabrication processes.
Solution Approach 2:
The transition to fractal geometry introduces a new dimensional aspect to electrode design, creating self-similar patterns that provide enhanced anatomical targeting capability. The fractal structure enables precise control of current density distribution in three-dimensional neural tissue while the manufacturing process remains grounded in conventional two-dimensional photolithography and etching techniques.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Fractal-shaped electrodes achieve up to 22% reduction in input power consumption while maintaining neural activation levels compared to conventional electrodes, facilitating easier implantation and reducing surgical risks and costs.
Implementation Method 1
the electrode geometry can affect the spatial distribution of the electric field in the tissue comprising the neurons and, consequently, the pattern of neural excitation can also be affected. More generally, the irregularity of a surface current profile can be quantified with a metric defined here as topological edginess
Data Source
AI summary
Electrodes for use in neural stimulation applications, shaped to have fractal or pseudo-fractal geometries, with a generally planar core portion of the electrode using a base fractal geometry. A series of successively smaller holes is provided in the core portion, where each hole in the generally planar core portion can have a perimeter shape that is self-similar to a perimeter shape of the generally planar core portion. The selected electrode geometry affects the spatial distribution of the electric field in neuron-bearing tissue. This spatial distribution is related to the irregularity—or non-uniformity—of current density on the electrode surface. Optimized electrode geometries increase the efficiency of neural stimulation by maximizing the spatial variation of current density on the electrode surface.